No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Impacts of Computerized Maintenance Management System and relevant supportive organizational factors on total productive maintenance
Abstract
Purpose
The application of automated systems is rapidly increasing in different industries and organizations. In this regard, computerized maintenance management systems (CMMS) using information technology play an important role in the automating production systems. The purpose of this paper is to investigate the impacts of CMMSs and relevant supportive organizational factors on the effectiveness of total productive maintenance.
Design/methodology/approach
This study is classified as a quantitative survey-based research using structural equation modeling. The scope of the study includes manufacturing companies in Iran. A total of 125 questionnaires from 60 companies were collected from January to March 2014 to help validate the conceptual model and test the hypotheses.
Findings
The results support the concept CMMSs positively relates to relevant supportive organizational factors (resource allocation, decision-making structure, senior management support, employees’ involvement and effective instruction) on the effectiveness of total productive maintenance. The relevant supportive organizational factors can also be seen as the predictors of CMMSs.
Originality/value
This study integrates the CMMSs and relevant supportive organizational factors in a robust model to examine the effectiveness of total productive maintenance. This study also examines the impacts of CMMSs and relevant supportive organizational factors on total productive maintenance which seems to not be done previously.
... is has changed the maintenance operations and repair of building equipment, especially with regard to technical and optimisation of physical assets. Many organisations are now aware of the effectiveness offered by technology in failure prevention and its consequences, which may result in total production shutdown, loss of customers, personnel unemployment, and reduction of market share [10]. erefore, literature on maintenance emphasises more the effectiveness of systems such as CMMS for effective and reliable service delivery. ...
... CMMS plays a fundamental role in solving the problem of huge maintenance data accumulated in the organisation database to help the personnel execute their jobs more effectively [16]. However, many organisations see CMMS as a strategy rather than a tool for FM [10]. Despite its outlined importance, statistics presented a poor implementation even in a well-resourced organisation; successful implementation is estimated at about 25-40%, while only 6-15% were estimated to use CMMS in full capacity. is is tied to the unreadiness of the organisation, failure to sell the benefits of CMMS to users, inadequate Internet infrastructure, and resources to carry out the process [15]. ...
... Elements. An extensive review of previous studies on CMMS and measurement of performance shows that several supportive organisational indicators, including policy structure, resources, management, and personnel involvement, may predict effective maintenance service delivery [10,[57][58][59]. ...
The development of high-rise buildings is a current trend in developed cities to answer the challenges of population growth, adding aesthetic value, and optimal use of land. Lagos particularly is one of the fastest growing cities in the world with Gross Domestic Product (GDP) and Internally Generated Revenue (IGR) in Nigeria, which suggests the need for multiple complex buildings, and the need for their maintenance cannot be overemphasised. This maintenance aspect requires tremendous work due to the complexity attached and several strategies springing up. Different studies reveal that both performance measurements and factors are essential aspects in evaluating maintenance management. Thus, this study seeks to explore performance elements that could improve maintenance. Personnel attitude, maintenance policy, maintenance review, and maintenance implementation were measured relative to computerised maintenance management system (CMMS) performance. With a random sampling technique, a sample of 134 Facility Management (FM) practitioners involved in high-rise office buildings was used to assess the effects of CMMS deployment. Results were analysed by Partial Least Squares Structural Equation Modelling (PLS-SEM). Findings from this study highlighted an indirect effect size and a large predictive relevance of personnel attitude as a critical factor for a smooth maintenance execution procedure of 12.59% and a standard operating procedure (SOP) of 15.64% on maintenance implementation to contribute 28.36% to performance. This paper uncovers the place of personnel attitude in determining effective maintenance.
... In this regard, the maintenance operatives can uncover new ways to optimize their processes from the sourcing of raw materials to the sale of their finished products (Dilda et al. 2017). The adoption of an appropriate CMMS tool enables the maintenance operatives to harness other relevant supportive organisational functions and functionaries, such as resource allocation, decisionmaking structure, senior management support, employees' involvement and effective instruction to achieve the effectiveness of total productive maintenance (Jamkhaneh et al., 2018). Productive maintenance enhances the prospects of reliability of machines, which in turn facilitates improved production. ...
... The shoter the MTTR, the better. This is because MTTR influences the duration of the down time of machines in the production line (Vishnu and Regikumar, 2016;Jamkhaneh et al., 2018). Similar to other factors, both the monthly and annual averages for the year 2017 exceeded the benchmark of 1.5 hours, Figure 4. Similarly, the 2018 annual average is marginally above the benchmark of 1.35 hours. ...
... The goal of the maintenance strategy is to lay out a plan for accomplishing maintenance goals like availability and dependability in an orderly manner. They also emphasize critical success factors such as the knowledge that maintenance personnel must have in order to prevent failures early on, management skills such as planning, human resource management, and task management, and the ability to capitalize on maintenance history trends and opportunities [14,15]. As a result, this study attempts to answer a basic question: Can we improve the Maintenance Planning Performance system by using ERP? ...
... Vendors create two types of maintenance: legal change packs (LCPs) for the installed version and new ERP system versions for upgrading reasons. LCPs and new version upgrades are supplied by the vendor and applied by customers to solve problems, improve current functionality, and/or bring new capacity to the installed ERP systems [14]. In 1959, Penrose introduced the Resource Based View (RBV) or Resource Based Theory (RBT), which has since grown into a branch of management study focused on Maintenance Planning. ...
This study's objective is to investigate the interaction between an enterprise's ERP system and its maintenance planning system. The primary data were collected using a structured questionnaire in a descriptive and analytical cross-sectional survey. To accomplish the goal of this study, data collection was conducted by giving a questionnaire to a selected group of top managers, supervisors, and engineers at Lafarge Cement Jordan. The findings indicate that an ERP system's (workforce, information) component has a favorable and statistically significant link with equipment availability. The findings indicate that the (Spares Tools & Materials, Outsourcing,) component of an ERP system has insignificant effect on equipment availability. The outcome of the other model indicated that an ERP system's (Spares Tools & Materials, Outsourcing, and Workforce) components have a positive and substantial link with workforce utilization. The findings indicate that the (Information) component of an ERP system has a negligible effect on workforce utilization. A future research target for the characteristics is to expand on the present attributes by incorporating maintenance activities for vendor-supplied patches and designing and implementing a comprehensive set of paperless maintenance forms for managing and recording all maintenance operations.
... The CMMS was designed to assist in planning, management, and administrative functions needed for effective maintenance and repairs (Jamkhaneh et al., 2018). The software assesses a building to reduce maintenance problems (O'Donoghue & Prendergast, 2004). ...
... It is a database that contains large, unstructured, and amorphous data (Gunay et al., 2019). Jamkhaneh et al. (2018) added that CMMS lacks the Although BIM is beneficial to the maintenance process, there are still shortcomings that need to be remedied. Past studies have also noted that BIM application in maintenance is still in its infancy (Rowland, 2015). ...
There is a prevalence of poor building maintenance practices in both the public and private sectors in Malaysia. To improve the current state of maintenance, effective decisions must be made by the building stakeholders. Unfortunately, the decision-making process for building maintenance in Malaysia is still traditional. The decisions are usually made based on the latest maintenance inspection without taking into consideration the trend of past data. This limits the building maintenance strategy to corrective (reactive) and preventive (expensive). Data-driven decisions improve building operations and create better predictive maintenance programs because the stakeholders can instantly identify problems and effectively act. Maintenance analytics is a structured and technological approach used to extract information from data and has proven to be an acceptable tool to improve building operation and maintenance. It is used to determine “what has happened?”, “why it happened?”, “what will happen?”, and “what needs to be done?” to enable decision-makers to take appropriate actions. In a country like Malaysia where maintenance practice is not data-driven, there is a need to identify the techniques to improve the maintenance process (especially decision-making). Therefore, this study aims to identify the various analytical techniques applied in existing maintenance analytics studies and determine the current direction of maintenance analytics studies. A comprehensive literature review was done to understand maintenance analytics, types of data and its sources, and the analytical techniques applied. Findings from the literature review revealed that the major data sources are CMMS, BIM, IoT, BAS. It was also noticed that the type of data used influenced the choice of analytical technical techniques. In addition, it was noted that certain studies did not use the major data sources and analytical techniques, and other studies used more than one data source. Overall, the general direction of the maintenance analytics studies was building performance and operation, end-user complaints, and work orders. There is a gap in the application of maintenance analytics to cost-effective decision-making in building maintenance. Which is recommended as the direction for future studies.
... These barriers can significantly hinder the successful implementation of TPM in an organization, leading to suboptimal outcomes. For instance, the resistance of employees to adopt new maintenance practices can slow down the TPM implementation process, while a lack of management support can prevent the allocation of necessary resources for TPM activities [22]. Additionally, organizations may face challenges in integrating TPM with existing maintenance strategies, particularly in industries with complex manufacturing processes [23,24]. ...
The aim of this research is to design a Total Productive Maintenance (TPM) management model using a hybrid method of artificial neural networks and hierarchical clustering in power distribution companies of northwestern Iran. This study is conducted in power distribution companies of northwestern Iran, which were selected as pilot companies. Determining the optimal maintenance strategy and selecting the best management model for maintenance is of great importance. The findings of this study will be provided to Tavanir and the Ministry of Energy for further implementation in other subsidiary companies. In terms of location, the quantitative data pertains to operational data of the power distribution companies in northwestern Iran. The statistical population includes experts and personnel from the maintenance, repair, and warehousing departments of these companies. The temporal data pertains to operational data from the inventory, accounting, and process systems of power distribution companies in northwestern Iran, spanning from 2017 to 2022. The results of this research indicate that initiating the Total Productive Maintenance process requires strong managerial leadership. Subsequently, processes should be improved and undergo initial feedback evaluations. By considering the strength of human resources and enhancing employee skills, the quality of work processes will be analyzed. As these factors evolve, the system will undergo precise organization and planning. Comprehensive preventive maintenance will ensure workplace safety and health are prioritized. Another aspect that management must address is the advancement of technology and the expansion of automation systems, especially in the implementation of equipment and inventory management subsystems and resource and contract management, which are key priorities of the model. Finally, management must focus on adopting preventive maintenance, self-controlled maintenance, and re-evaluating current practices. Employees should be engaged in achieving these three goals.
... However, retaining talented employees is challenging, especially in environments characterized by rapid change and uncertainty (Danneels & Sethi, 2011). Factors such as job satisfaction, organizational culture, and leadership play crucial roles in employee retention and productivity (Imran et al., 2015;Jamkhaneh et al., 2018). ...
Objective: This study aims to identify and analyze individual factors among employees that contribute to creating a conducive environment for retaining human capital and enhancing organizational productivity within the National Iranian Oil Company (NIOC). Methodology: A qualitative research design was employed, utilizing semi-structured interviews with 15 participants selected through purposive sampling. The participants included NIOC elites, consultants, and external advisors. Data were collected until theoretical saturation was achieved and analyzed using NVivo software. Thematic analysis was conducted to identify key themes and subthemes. Findings: Four main themes were identified: equal job opportunities, creating a creative environment, communication and participation, and leadership and trust. Subcategories within these themes included fair recruitment, career advancement, diversity and inclusion, innovation encouragement, flexible workspaces, professional development, transparent communication, feedback mechanisms, trustworthy leadership, and empowerment. Participants emphasized the importance of transparent hiring processes, diversity policies, innovation support, effective communication, and ethical leadership in enhancing employee satisfaction and productivity. Conclusion: The study highlights the critical role of both individual and organizational factors in creating a supportive environment for employee retention and productivity. Implementing fair recruitment practices, promoting diversity and inclusion, fostering innovation, ensuring effective communication, and ethical leadership are essential strategies for organizations.
... Results from [8,[42][43][44] further affirm the unacceptable level of usability in current CMMSs. CMMSs are regarded among operators as systems that rarely provide value to the company and, in some cases, even hinder efficiency and productivity [45][46][47]. ...
This paper details the design, development, and evaluation of VulcanH, a computerized maintenance management system (CMMS) specialized in preventive maintenance (PM) and predictive maintenance (PdM) management for underground mobile mining equipment. Further, it aims to expand knowledge on trust in automation (TiA) for PdM as well as contribute to the literature on explainability requirements of a PdM-capable artificial intelligence (AI). This study adopted an empirical approach through the execution of user tests with nine maintenance experts from five East-Canadian mines and implemented the User Experience Questionnaire Plus (UEQ+) and the Reliance Intentions Scale (RIS) to evaluate usability and TiA, respectively. It was found that the usability and efficiency of VulcanH were satisfactory for expert users and encouraged the gradual transition from PM to PdM practices. Quantitative and qualitative results documented participants’ willingness to rely on PdM predictions as long as suitable explanations are provided. Graphical explanations covering the full spectrum of the derived data were preferred. Due to the prototypical nature of VulcanH, certain relevant aspects of maintenance planning were not considered. Researchers are encouraged to include these notions in the evaluation of future CMMS proposals. This paper suggests a harmonious integration of both preventive and predictive maintenance practices in the mining industry. It may also guide future research in PdM to select an analytical algorithm capable of supplying adequate and causal justifications for informed decision making. This study fulfills an identified need to adopt a user-centered approach in the development of CMMSs in the mining industry. Hence, both researchers and industry stakeholders may benefit from the findings.
... Due to the extensive number of tasks accomplished by FM, it has become essential for FM to make highquality decisions, particularly when it comes to maintenance (Marocco & Garofolo, 2021). In addition to that, the problem of the enormous amount of data that has been gathered from the maintenance activities is fundamentally solved by CMMS (Balouei Jamkhaneh et al., 2018). Despite being a traditional technology for FM, CMMS has evolved significantly because of its features and functionality (Teicholz, 2013). ...
Computerised Maintenance Management System (CMMS) is a widely recognised software in Facilities Management (FM) that provides numerous advantages to facility managers by enhancing productivity at work. The objective of this research is to provide insight and assess the factors influencing the acceptance of CMMS among facility managers in Malaysia. As a result, an improved comprehension of CMMS technology acceptance can be formed, as well as a better understanding of other FM technology adoption. Multiple factors influence CMMS acceptance, and this study used a quantitative technique to verify the hypothesis, using the Technology Acceptance Model (TAM) in conjunction with a Partial Least Square-Structural Equation Model (PLS-SEM). In addition, 125 facility managers completed an online survey that was utilised to collect primary data. The quantitative and structural models were analysed using PLS-SEM. Based on the study's findings, perceived usefulness (PU) and perceived ease of use (PEOU) have a favourable impact on behavioural intention (BI), which influences actual usage (AU) of CMMS. The research aims to improve awareness of the degree of acceptance of CMMS among facility managers and to contribute to FM organisations' better understanding of future technology adoptions.
... Fastest response time to user requests to achieve a significant competitiveness [9,22,21] Customer delightment (CUD) Value addition (VLA) ...
This article focuses on empirical assessment of key performance indicators (KPIs) of total productive maintenance (TPM). It provides the implementation guidelines and facilitates measuring impact and support for business excellence in the manufacturing sector. The present study examines the current state of TPM and, identifies the key areas for TPM adoption using an analytical hierarchical process in a manufacturing environment. This study aids in the creation of a framework for judging the weights of TPM components. Together, qualitative and quantitative methods have produced reliable results. Data have been gathered using a questionnaire that was correctly constructed. The KPIs have been used to examine the impact of the external environment on internal manufacturing sector elements. By using the pair-wise comparison approach of the analytical hierarchical process, the weights of TPM key performance indicators were determined. It has been noted that in the studied manufacturing industries, work environment, and competitive advantage are given less importance than increasing productivity and quality. To construct a model for today's needs based on actual data and philosophical justifications, this study's outcomes provide a thorough typology of TPM techniques and their performances in the manufacturing realm.
... Maintenance management is a skill based management discipline, which stresses on eradicating waste for producing breakthrough performance by the system (Singh and Ahuja, 2017). Maintenance activities are planned on the basis on cost, time or failure and research based on mathematical formulation, artificial intelligence, matrix formation, simulation, critical analysis and multi criteria techniques are required to be developed by the researchers for influencing maintenance decisions (Basri et al., 2017;Hemmati et al., 2018;Jamkhaneh et al., 2018). The rapid modernization and requirement of higher productivity needs developed maintenance tool and techniques for operating sophisticated and complex machines and equipments (Singh and Ahuja, 2017;Krotov, 2016;Navas et al., 2017). ...
Purpose
The main purpose of present study is to model the replacement policy under uncertainty for managerial application based on grey-reliability approach by considering the subjective views of quality control circle (QCC). The study objectively links the optimality between individual replacement and group replacement policies for determining the minimum operational costs. The integrated framework between QCC, replacement theory, grey set theory and supply chain management is presented to plan replacement actions under uncertainty.
Design/methodology/approach
The study proposes the concept of grey-reliability index and built a decision support model, which can deal with the imprecise information for determining the minimum operational costs to plan subsequent maintenance efforts.
Findings
The findings of the study establish the synergy between individual replacement and group replacement policies. The computations related to the numbers of failures, operational costs, reliability index and failure probabilities are presented under developed framework. An integrated framework to facilitate the managers in deciding the replacement policy based on operational time towards concerning replacement of assets that do not deteriorate, but fails suddenly over time is presented. The conceptual model is explained with a numerical procedure to illustrate the significance of the proposed approach.
Originality/value
A conceptual model under the framework of such items, whose failures cannot be corrected by repair actions, but can only be set by replacement is presented. The study provides an important knowledge based decision support framework for crafting a replacement model using grey set theory. The study captured subjective information to build decision model in the ambit of replacement.
... Customer satisfaction and top management commitment are critical factors in achieving advantages, such as cost savings, increased performance management, enhanced quality goods and services, increased customer satisfaction, increased productivity, and reduced consumption of time, among others [138]. In addition to this study, Kazemi emphasized the importance of top management commitment, cooperation, an integrated quality management system, and contact between quality and other departments in the UK construction sector [139]. According to the respondents, providing a diverse range of overall quality management techniques and services to consumers is critical to construction companies, even if these clients are unaware of them, because this will help to maintain loyalty and trust, which will lead to customer satisfaction. ...
Total quality management (TQM) is widely regarded as one of the most important approaches toward improving the quality of an organization’s output in the construction industry. The industrialized building system (IBS) or prefabrication process has been described as a valid alternative for replacing traditional construction methods in terms of quality, cost-effectiveness, protection and health, waste mitigation, and productivity. This study aims to identify and rank the critical success factors that affect TQM in Malaysian IBS construction projects. The collected questionnaire data was subjected to statistical analysis. The analysis showed that the most important grouped factor is leadership. Regardless of the identified critical factor, all contributing factors established a significant influence on the successful performance. The study developed a conceptual framework based on the top critical factors that will help stakeholders to enter before applying TQM in IBS construction projects.
... The CMMS is suggested as a dynamic tool to replace the conventional methods still used by many Malaysian organizations [40]. The essential features of this software include providing inventory activity for facility assessment to reduce maintenance problems [53] and achieve a higher level of planned maintenance [54]. In addition, this tool can also identify work location, materials and equipment needed, and the required completion date. ...
Buildings deteriorate gradually over time due to several reasons, including unattended defects, neglected damage, and natural causes. Hence, maintenance activities are required to impede the deterioration process to ensure the continuous function of the buildings. Maintenance is a systematic process to safeguard features and resources operated at optimum levels to achieve building standards and performance. Nevertheless, previous studies have shown that maintenance practices in Malaysia were not implemented efficiently and performed far below maintenance best practices. Hence, this study aimed to explore the building maintenance practice issues in Malaysia. A systematic literature review (SLR) was conducted to examine the issues or factors that affect building maintenance practice. The review included articles on issues affecting building maintenance practice and recommendations to minimize the issues. The maintenance practice issues were categorized into planning, management, staff, competency, technology, and technical capabilities. Besides, the study proposed recommendations from the literature for future studies aligning with the ISO 41001 guidelines. Finally, a conceptual framework was proposed toward building maintenance management best practices at the end of the study.
... The HRM literature suggests that HRM processes are the best facilitator of knowledge sharing through combining congruence and proportionality of human resources and social capital (Scarbrough and Carter, 2000). The relevant literature stresses through the proportionality approach that HRM processes require internal cohesion to strengthen each other and the supportive management system in the entire organisation proportionate to the external environment (Jamkhaneh et al., 2018). In particular, prominent HRM processes are highly valuable for targeting the knowledge management in the context of professional structure and rewarding system (Currie and Kerrin, 2003). ...
... A typical reference point for CMMS application in manufacturing industries is presented in Jamkhaneh et al. [10]. The work is very interesting, particularly for its explanation of how CMMS can be applied to total productive maintenance (TPM), with over 60 manufacturing companies being considered. ...
Computerised software systems have undeniably continued to gain recognition in the implementation of reliable maintenance policies in today's Industries. While significant investigations corroborating the importance of management technology in developed economies abound, this study examines the level of the technology's success in a typical manufacturing firm in South Africa. Using an analytical research approach, useful maintenance indices were established from the dataset stored in the maintenance information management system of a case example manufacturing firm, designated 'X-Company' in this research for the sake of confidentiality. The result shows that, as applied currently to the replacement maintenance of the case example system, the technology requires optimisation. Maintenance policies that can improve the poor correlation between the current status on the one hand, and the established trends in the maintenance engineering literature and practice on the other, are recommended.
... Based on these advanced systems, various applications are found in Naughton and Tiernan (2012), Rastegari and Mobin (2016) and Jamkhaneh et al. (2018). The details of the quantitative frameworks are mentioned in Table 1. ...
Purpose
The purpose of this paper is to provide the description of an original framework for maintenance management plan development. The research aims to use in an integrated way different World Class Manufacturing (WCM)-based tools, in order to obtain a model which can be used for preventive maintenance in different industrial contexts.
Design/methodology/approach
In this research, a conceptual framework of preventive maintenance was described and then it was evaluated through a qualitative study in an Italian company. The company was chosen based on an initial interview with the operations team and the model area was selected. Then, the location was reorganized in order to obtain a green field which could sustain the implementation of the framework tools.
Findings
The case study was carried out in a small-medium manufacturing company which produces quick-release couplings and multiconnections, ranging from medium to ultra-high pressure. The defined framework has proved to be easy to implement in a company with a corrective maintenance plan, allowing the maintenance department to embrace the preventive maintenance culture. The maintenance model has been well received from the employees.
Practical implications
The framework allows a standardization of maintenance plans. Firstly, the standardization design itself allows finding previous wastes and consequent improvement areas. Then, it brings the improvement of a single machine which impacts all other machines in its family.
Originality/value
The added value of this study is the ability to integrate different WCM-based tools. Since the framework depicts a step-by-step process; it is also a starting point for companies that want to approach preventive maintenance for the first time.
... In regards to that, the importance of the adoption of a Computerized Maintenance Management Systems (CMMS) for asset management and, more specifically, for information management aimed at maintenance activities, has been highlighted (Lopes et al., 2016). Furthermore, Balouei et al. (2018) state that the role of CMMS in maintenance management will become even greater in the future, due to the growth of data and, thus, of the need for information management. In this sense, the possibility to automate information collection, processing and exchange through the use of a CMMS makes possible to provide support for the concept of dynamic FMECA and its possible declinations. ...
The digital transformation of the manufacturing industry is currently unlocking new possibilities in terms of automation and improvement of existing business processes. Service is currently one of the key areas that are being affected by it and, while many use cases are proposed, their operational implementation often remains a challenge. This paper, focusing on the impact of information transparency on the formulation of an effective maintenance plan, is proposing a progressive implementation roadmap for a dynamic failure mode, effect and criticality analysis (FMECA), according to the digital maturity of the organization.
... Maintenance directly affected the efficiency and effectiveness in the manufacturing organization (Singh & Ahuja, 2014;Soner, Gul & Yildirim, 2016). TPM as one of the quality approach, such as total quality management, just-in-time, and continuous improvement (Bartz, Siluk, & Bartz, 2014;Jamkhaneh, Pool, Khaksar, Arabzad, & Kazemi, 2018). This approach can improve the performance, new technology, research, operations, and manufacturing process. ...
The purpose of this paper is to determine the implementation of total productive maintenance in Malaysian automotive industry. 400 questionnaires were distributed to Malaysian automotive industry and 229 were completed, giving a response rate of 57.25%. Based on the developed models, the results of the study provide guidance for effective implementation of total productive maintenance in Malaysian automotive industry. This study makes a new contribution to the Malaysian automotive industry for total productive maintenance implementation. This study provides important information for decision makers to implement total productive maintenance in automotive industry and also provides useful information for future researchers in the total productive maintenance area.
The successful implementation of Total Productive Maintenance (TPM) in a logistics company hinges on the active participation of logistics personnel. This can be a crucial catalyst for improving operational efficiency and maximizing productivity in managing tractor-trailer fleets, warehouses, and logistics processes. By applying TPM principles in this environment, the company can experience significant benefits, such as maintenance and availability of truck fleets, efficient maintenance, or adequate PM programs with autonomous maintenance activities in truck inspection and repair of minor failures, adequate participation in training programs for personnel, inventory management, cost reduction and efficient warehouse management. This chapter describes the concepts, evolution, benefits, barriers, and implementation process of TPM in the industry. It also includes a comprehensive literature review, highlighting the primary documents published, the authors who have been pioneers in this topic, and the scientific journals that publish it. Finally, a compelling case study is presented, offering a tangible glimpse into the advantages of implementing TQM in a company.
Purpose
With production systems become more digitized, data-driven maintenance decisions can improve the performance of production systems. While manufacturers are introducing predictive maintenance and maintenance reporting to increase maintenance operation efficiency, operational data may also be used to improve maintenance management. Research on the value of data-driven decision support to foster increased internal integration of maintenance with related functions is less explored. This paper explores the potential for further development of solutions for cross-functional responsibilities that maintenance shares with production and logistics through data-driven approaches.
Design/methodology/approach
Fifteen maintenance experts were interviewed in semi-structured interviews. The interview questions were derived based on topics identified through a structured literature analysis of 126 papers.
Findings
The main findings show that data-driven decision-making can support maintenance, asset, production and material planning to coordinate and collaborate on cross-functional responsibilities. While solutions for maintenance planning and scheduling have been explored for various operational conditions, collaborative solutions for maintenance, production and logistics offer the potential for further development. Enablers for data-driven collaboration are the internal synchronization and central definition of goals, harmonization of information systems and information visualization for decision-making.
Originality/value
This paper outlines future research directions for data-driven decision-making in maintenance management as well as the practical requirements for implementation.
Purpose
The aim of this paper states that total productive maintenance (TPM) is an improvement tool which employs the effective utilization of employees in order to enhance the reliability of the equipment in consideration.
Design/methodology/approach
This paper identifies and evaluates the factors accountable for the adoption of TPM methodology in manufacturing organizations. Twenty-four factors affecting the TPM implementation are explored and categorized into five significant categories. Afterwards, these identified TPM factors have been evaluated by using a most popular Multi-criteria decision-making (MCDM) approach namely fuzzy pivot pairwise relative criteria importance assessment (F-PIPRECIA).
Findings
In this paper, through application of F-PIPRECIA, “Behavioural factor” is ranked first while “Financial factor” the last. Considering the sub-factors, “Top management support and commitment” is ranked first while “Effective use of performance indices” is ranked the last. A further sensitivity analysis indicates the factors that need higher level of attention.
Practical implications
The result of current research work may be exploited by the top administration of manufacturing enterprises for assessing their TPM adoption status and to recognize the frail links of TPM application and improve accordingly. Moreover, significant factors of TPM can be identified and deploy them successfully in their implementation procedure.
Originality/value
The conclusion obtained from this research enables the management to clearly understand the significance of each considered factor on the adoption of TPM in the organization and hence, provides effective utilization of resources.
Purpose
New maintenance hypotheses such as lean smart maintenance emphasized internal integration. Since the maintenance process is not fully integrated with other business processes, it indicates that some of the problems in the maintenance process are caused by other departments. Additionally, nothing can be managed or improved without first measuring it. In order to enhance internal integration, this study developed a model that makes use of information systems data to examine synchronization and collaboration across departments engaged in maintenance operations.
Design/methodology/approach
This research connects maintenance management and business process management through information systems. A conceptual module model based on CMMS is proposed that will use data which are already available in CMMS and, using process mining, will assess the level of synchronization between departments within an organization.
Findings
This conceptual model will serve as a roadmap for creating better value-added CMMS software. This system operates as a performance measurement tool in three majors, including organizational analysis, workflow analysis and eventually, a future simulation of maintenance processes. This module will serve as a decision support system, highlighting opportunities for improvement in maintenance processes.
Originality/value
A practical guideline is provided for the future development of CMMSs and their enhancement to intelligence. All assumptions are based on maintenance theories, techniques for measuring maintenance performance and business process management and process mining.
Green building gains its popularity by having various benefits like optimising energy consumption, promoting long-term cost savings, and addressing global climate change. Inevitably, inappropriate operation and maintenance practice becomes a barrier in sustaining green buildings. Thus, there is an urgent need to recommend a sound operation and maintenance strategy that can tackle the issues. Total Productive Maintenance (TPM) is seen as the comprehensive strategy, provided the organisation employees can take part in the operation and maintenance activities. So, this paper aims to investigate the TPM enablers to encourage the employee participation in operation and maintenance activities of green buildings. Seven TPM enablers were identified via literature review. Then, 417 responded questionnaires were analysed to examine the association between the TPM enablers and employee participation. Subsequently, semi-structured interviews were carried out to verify and further elaborate the survey results. The findings demonstrated that all determined TPM enablers have significant associations with employee participation. The regression analysis further filtered and retained only three TPM enablers as the significant predictors of employee participation. This study is valuable to the organisations in effort to implement TPM in operation and maintenance of green buildings. It signifies the importance of knowledge, awareness, and communication to promote employee participation in operation and maintenance. It also aids to plan and conduct the training and education programmes in a more rational direction prior to the TPM implementation.
A review on the identification of total productive maintenance critical success factors for effective implementation in the manufacturing sector
Abstract
Purpose
The purpose of this paper is to carry out the literature search on manufacturing organizations and total productive maintenance (TPM). This research aims at studying TPM attributes and barriers in line with the TPM framework for effective implementation of TPM. This study identifies the barriers in TPM implementation and the critical success factors (CSFs) for effective TPM implementation.
Design/methodology/approach
In this manuscript, the study of TPM in the manufacturing sector has been considered a broad area of the research and emphasis on the TPM literature review, which primarily relates to the contribution of manufacturing sector and employment availability. Next sections covers TPM history, importance, justification, pillars, obstacles and TPM implementation procedure and models. Thereafter author identified the gaps in existing literature.
Findings
The existing literature shows that very few TPM implementation models are available for the manufacturing sector. The study also found that there is no systematically conducted large-scale empirical research which deals with TPM implementation. In order to bridge this gap, an investigation into the successful implementation of TPM in is truly needed. The finding of the literature shows that there is a need of TPM model specially developed for the manufacturing sector. The identified critical factors derived from the extensive literature review help to overcome the barriers for effective TPM implementation.
Research limitations/implications
This review study is limited to Indian manufacturing industries. The identified TPM CSFs are based on the TPM pillars and their sub-factors. This cross-sectional study was based on the existing TPM model.
Practical implications
This paper can increase the significance of TPM strategy, which could help managers of organizations to have a better understanding of the benefits of implementing TPM and therefore enable patient satisfaction within their organizations.
Originality/value
The literature review covers methodical identification of TPM barriers and critical factors for maintenance performance improvements. It allows the practitioners to apply these identified CSFs for TPM implementation to achieve an improvement in industrial performance and competitiveness.
This paper aims to propose a framework for identifying and prioritising software features of CMMS success factors. In order to achieve this goal, we tried to identify customers and users' requirements of this software using a two-stage QFD approach and suggest features and specifications for new products and services afterwards. The results of this study represent that the most important CMMS software features that can greatly influence the success of CMMS implementation are: possibility to use in multiple locations, simplicity and being user friendly (the use of shareholders from the software menu), facilities for computing external maintenance costs and automated reorder. In this research, a systematic structure is proposed to improve the process of choosing the right CMMS software and its development. The CMMS software requirements are tailored to the company's maintenance goals which contribute positively to the value of organisational processes.
In the present paper, the scope of the process line maintenance in the production plant has been presented. The issues associated with the basic functions and characteristics of the services dealing with this problem, which is crucial for the production plant, have been discussed. Modern CMMS (Computerized Maintenance Management Systems) have been discussed, while indicating their specific advantages, among others, the possibility of keeping records of machinery and equipment, maintenance schedules and various types of alarms, which may disrupt or suspend the operation of production facilities, so that these systems ensure the safety of fault-free operation of machinery and equipment.
Computerized Maintenance Management System
(CMMS) is widely considered as a powerful tool for
organizations to improve the efficiency of their maintenance
function. Nevertheless, the selection of the appropriate CMMS
is not a trivial task. Furthermore, how proving the impact of the
selected software on the functioning of the maintenance
structure.
The aim of this work is twofold: on the one hand, define
reusable criteria for selecting a CMMS from a range of tools
available online. On the other hand, propose a reusable
approach to study and analyze the impact of the use of a CMMS
on the functioning of a maintenance structure. The proposed
approach is illustrated throughout a case study within an oil
company.
This paper aims to propose a framework for identifying and prioritizing software features of CMMS success factors. In order to achieve this goal, we tried to identify customers and users’ requirements of this software using a two-stage QFD approach and suggest features and specifications for new products and services afterwards. The results of this study represent that the most important CMMS software features that can greatly influence the success of CMMS implementation are: possibility to use in multiple locations, simplicity and being user friendly (the use of shareholders from the software menu), facilities for computing external maintenance costs and automated reorder. In this research, a systematic structure is proposed to improve the process of choosing the right CMMS software and its development. The CMMS software requirements are tailored to the company's maintenance goals which contribute positively to the value of organizational processes.
Purpose - Everyday a large volume of information is generated in the maintenance department relating to its business assets whose detailed analysis has a direct impact on the effectiveness of the company. Taking into account the aforementioned, it is necessary to develop and implement a set of indicators that allow a practical evaluation of the maintenance function in any firm. As a consequence , the goal of this paper is to evaluate the maintenance function through a thorough analysis of historical data of a biotechnology sector firm.
Design/methodology/approach – The method used to evaluate the maintenance function of a Cuban company is based on the quantification of a set of indicators, represented graphically. The data processed in this paper was obtained through an informatics application, designed to computerize the maintenance function in the firm. This application is validated and is part of the company quality management system, which is audited every two years by the national regulatory authority CECMED (Centro para el Control Estatal de Medicamentos, Equipos y Dispositivos Médicos de Cuba, by its Spanish acronym), for issuing the certificates of sanitary license and good manufacturing practices.
Findings – It was used evidence-based control alternatives to evaluate the adequacy of the maintenance function in a biotechnology company. Results demonstrate graphically the maintenance operations of the National Center for Scientific Research, production department, during a period from January 2013 to December 2017. Finally, based on the analysis, it was discovered that the performance of the maintenance department was inadequate and had poor effectiveness and a new maintenance strategy was established to be followed for the next quinquennium.
Originality/value – The research proposal provides information on how to evaluate the proactive and reactive maintenance actions through graphical indicators. The results obtained together with traditional maintenance indicators such as availability, maintainability and reliability could be interesting to technicians or engineers who decide to evaluate directly the effectiveness of a maintenance department.
The paper reviews the literature on maintenance management, integrates key dimensions of maintenance within a taxonomy of maintenance configurations, and explores the impact of differing configurations on contextual factors and operational performance. “Prevention”, “hard maintenance integration” and “soft maintenance integration” were identified as key maintenance variables. Data were collected from 253 Swedish manufacturing companies, and three distinct clusters were identified. “Proactive Maintainers” emphasized preventive maintenance policies. “IT Maintainers” relied on computerized and company‐wide integrated information systems for maintenance. “Maintenance Laggers” emphasized all maintenance dimensions to lesser extent than the others. The importance of maintenance prevention and integration differ between contexts. There were subtle performance differences across identified configurations, but preventive and integrated maintenance were more important for companies seeking competitive process control and flexibility. There existed no group with any great emphasis on all three maintenance dimensions, but attaining truly high performance may require a rare mix of the three dimensions. This mix of variables could constitute a hypothesized “World Class Maintenance” group.
This article provides an application of the total productive maintenance (TPM) philosophy as a systematic means for avoiding losses and increasing productivity in an auto-parts machining line. This is achieved by strategically implementing the pillars of TPM on the basis of failure data, then performing a thorough “root cause analysis” thereof (targeted improvement). Preventive maintenance plans and the empowerment of the autonomous maintenance program operator teams become the main pillar in the implementation of this new philosophy as a result. All this is done with the full support of the general management and each area of the organization in order to guarantee the full implementation and sustainability of the program.
Purpose
The purpose of this paper is to investigate the impact of total productive maintenance (TPM) and total quality management (TQM) practices on operational performance and their inter-relationship.
Design/methodology/approach
The present study includes three main constructs, namely, TPM, TQM and operational performance of pharmaceutical industry. Under TPM, four constructs, namely, disciplined maintenance, information tracking, housekeeping and operator involvement has been considered with the help of literature. In TQM, four constructs, namely, quality data and reporting, product innovation, research and development (R&D) management and technology management has been considered. Out of 410 Indian pharmaceutical plants contacted for survey, 254 responses have been used in the study for analysis. The factor analysis, path model and structural equation modeling has been used to analyze the proposed framework. The results for alternate models has been studied, interpreted and reported. Finally the direct and indirect effect of TPM and TQM on operational performance has been tested and checked for proving and disproving the hypotheses.
Findings
TPM practices have a significant impact on plant-level operational performance. When TPM and TQM practices are coming together to achieve operational performance, then TPM is having strong influence on operational performance. TQM is having significant support from TPM to achieve operational performance. TPM impact TQM and TQM in turn helps to achieve operational performance. TPM practices impact significantly R&D, product innovation and technology management, whereas quality data and reporting is the least contributor toward TQM. This may help industry to understand implications of implementation of TPM and TQM to achieve plant-level operational performance. TPM will help to reduce the cost of quality in terms of reduced scrap and less defective products.
Practical implications
The present study provides the useful insights to practicing managers. In literature it has been mentioned that TQM helps in TPM implementation. In practice TPM plays a great role to achieve quality in processes and therefore in products. In turn quality products, with reduced work in process inventory, less defective products and reduced scrap helps to achieve the operational performance at plant level. TPM practices will help the organization to improve the pace of product innovation and improvement in productivity, which is critical to pharmaceutical industry. The continuous monitoring of TPM practices can help organizations to run day to day operations and maintenance requirement of each machine over a specified period of time.
Originality/value
The present study diagnoses the inter-dimensional linkage between TPM, TQM and operational performance. The pharmaceutical industry is complex system of advance equipment’s and processes. After human resources, the health of machines/equipment’s describe the strength of an organization. The machines require the regular maintenance to produce the products with desired specifications. The specifications in medicines and very tight, which can be achieved only if machines/testing equipment’s are updated and maintained regularly. The TPM practices will helps the plants to achieve the operational performance by having quality in processes.
Given the need for a quick response to today's dynamic market, the maintenance function is considered increasingly important for industrial companies. Waste elimination, in particular the reduction of work in process and overproduction, required by Lean Manufacturing methodology that has spread across industries, highlights and also increases the impact of failures or malfunctions of equipment on productivity. Managing maintenance involves several activities such as: planning of preventive maintenance actions; scheduling of activities considering available resources and planned production; management of spare parts; analysis of data to reduce the occurrence of failures and to improve performance of the maintenance function. To support this function, companies adopt information systems designated by computerized maintenance management systems (CMMS) to provide timely and accurate information. Several CMMS are offered in market. However, its main drawback is that they do not perfectly match the particularities of each company. Thus, many companies prefer to develop their own system. This paper presents an ongoing project aiming to develop a CMMS for a manufacturing company. Crucial phases of the project, involving the identification of requirements and the specifications of the system, are described in detail, showing the approach that was followed and reflecting about its effectiveness and efficiency.
Today's global world competitive market every industry needs to minimize its operating cost and produce world class products. Maintenance Practice is considered as an important function to increase the Productivity by maximizing the overall equipment effectiveness. Total Productive maintenance (TPM) is an approach to understand equipments function, equipment failure and relationship with product quality.TPM is interference between man and machine. The purpose of this paper is to understand and investigate the contribution of TPM in Indian industry.TPM is a systematic procedure to achieve maximization of profit, increase equipment life ,also improve employee morale .The study find out the basic requirement of TPM and proper planning for implementing TPM at the initial stage in the organization .This study discuss important key performance indicators (KPI) of TPM which are machine breakdown time, Mean time between failure (MTBF), Mean time to repair(MTTR). The main objective of TPM is to create active participation of all employees in maintenance and production system.
This paper is written based on the need of having a Computerized Maintenance Management System (CMMS) in terms of achieving world class status for maintenance management by providing a decision analysis capability. Investigations indicate that decision analysis capability is often missing in existing CMMSs and collected data in the systems is not completely utilized. How to utilize the gathered data to provide guidelines for maintenance engineers and managers to make proper maintenance decisions has always been a crucial question. In order to provide decision support capability, the aim of this paper is to provide and examine three different decision making techniques which can be linked to CMMS and add value to collected data. This research has been conducted within a global project in a large manufacturing site in Sweden to provide a new maintenance management system for the company. The data from the main studies were collected through document analysis complemented by discussions with maintenance engineers and managers at the case company to verify the data. Methods including a Multiple Criteria Decision Making (MCDM) technique called TOPSIS, k-means clustering technique, and one decision making model borrowed from the literature were used. The results indicate the most appropriate maintenance decision that suits each of the selected machines/parts according to factors such as frequency of breakdowns, downtime, and cost of repairing. The paper concludes with a comparison of results obtained from the different decision making techniques and also a discussion on possible improvements needed to increase the capability of the maintenance decision making models.
In today highly competitive markets, application of maintenance management systems is un-avoidable. However, in refinery environments due to huge investment amount of operating systems, applying advanced maintenance management systems (Such as Computerized Maintenance Management System which is called CMMS) is increasingly seems to be a crucial task. In order to implement high performance CMMS software, the existing ones should be analyzed. In this paper, performance of two CMMS related software entitled IFS™ andMAINTA™, are introduced, analyzed and compared using significant statistical analysis with a case study in a refinery. The results of both hypothesis testing and economical study finally proposed the MAINTA™ software.
This paper aims to examine the Total Productive Maintenance (TPM) as the significant technique to improve the maintenance management of production equipment. Attempt was made to discuss the available literature related to existing techniques in maintenance management, particularly on breakdown maintenance (BM), preventive maintenance (PM), predictive maintenance (PdM) or condition-based maintenance (CBM), reliability-centered maintenance (RCM), computerized maintenance management system (CMMS) and TPM. The outcomes from these reviews would serve as useful guidelines for the future research in maintenance management. This review justifies TPM as a comprehensive technique to improve the flaw in maintenance management. Notably, TPM encompasses of all elements applied by other maintenance methodology, from tools and techniques to involvement of all operational hierarchical in the organization as what is very much required in manufacturing organization is to integrate different functional areas in a coherent manner.
Purpose
– The intended function of performance measurement is to support the effective management of an organisation and the improvement of organisational performance. However, how performance measurement should be used operationally to support the achievement of improved performance is not self-evident. The purpose of this paper is to examine the operational use of performance measurement in practice and to describe how different use practices contribute to improved performance.
Design/methodology/approach
– The authors conducted an exploratory single case study in a maintenance process. Data were collected using a mixed methods approach that encompassed qualitative meetings and interviews (identification of usage practices) followed by a quantitative survey (elaboration of usage practices and their performance effects).
Findings
– Three usage practices are relevant: Inspect and Improve, Motivate, and Decision Making. Improved performance is best achieved through motivational and supportive improvement use. Furthermore, performance measurement systems must be designed properly to establish their use.
Research limitations/implications
– Being based on a single-case study, the identified usage practices may be limited to field service organisations or other organisations with similar organisational structures. The findings suggest opportunities for further research linking operational performance measurement system use and the body of knowledge on the design and purpose of performance measurement in maintenance processes.
Practical implications
– A performance measurement system can be used as a motivational improvement tool in operational level leadership. Upper level management must support its use by designing an understandable and applicable system.
Originality/value
– This paper identifies specific usage practices that contribute to improved performance, thereby providing a more detailed view than the usage categories found in the extant literature. The focus is on operational, rather than strategic, level management.
Purpose
– The purpose of this paper is to highlight the application of Interpretive Structural Modeling (ISM) to analyze the barriers in implementation of Total Productive Maintenance (TPM). TPM is explained in brief with emphasis on maintenance programs to improve quality of products, reliability of processes and reduction in cost. Barriers in implementation of TPM are also discussed. Concept of ISM and steps in developing ISM are described in detail. The authors then illustrate the research methodology which involves applying ISM to analyze barriers in TPM.
Design/methodology/approach
– The paper starts off by describing the concepts of TPM and ISM. Barriers in implementation of TPM are discussed. It explains ISM as a methodology to understand the underlying interrelationship among the inhibiting factors. The authors draw up an action plan to carry out research on the usage of ISM to study the TPM inhibitors, to develop an integrated model to establish the relationship among the different TPM inhibiting factors and to suggest action plan to mitigate these factors.
Findings
– Interpretive Structural Modeling (ISM) can be used to analyze the driving and dependence power of the variables inhibiting implementation of TPM. The barriers to implement TPM are described with detailed explanation. The complexity of the problem and the degree of interconnection among the variables can be found out. This will help Managers take action on mitigating the barriers.
Practical implications
– By analyzing the interrelationships among the barriers and their strengths, management can chalk out the strategy to implement TPM in an organization. Management will become aware of the barriers which have the maximum influence and then can act accordingly to mitigate these barriers. This will help in implementing TPM faster and in an organized manner.
Originality/value
– Many authors have used ISM to study various issues. A couple of authors have used ISM to determine barriers in implementation of TPM. The authors feel that most of the papers describe ISM in brief making it slightly difficult for readers to understand. This paper aims to explain elaborately step-by-step on how to develop an ISM making it easier for researchers to understand the ISM concept. Even though there are papers on TPM and difficulties in implementation of TPM, this paper explains the barriers in implementing TPM based on the experience of the corresponding author having worked in the refinery industry.
Numerous studies have been separately carried out on total quality management (TQM) and total productivemaintenance (TPM). This paper examines the influence of soft and hard TQM practices on TPM implementationlevel at manufacturing companies in Jordan using survey data and empirical research methodology. The resultsindicate that four soft TQM practices, top management leadership, training, workforce management, andcustomer focus, significantly and positively affect TPM implementation level. The results also show that threehard TQM practices, continuous improvement, information feedback, and process management, significantlyand positively affect TPM implementation level.
The longevity of subsurface drip irrigation (SDI) systems is a key factor in the profitability of these systems when used for lower-value commodity crops (typically the fiber and grain crops). The system management and maintenance protocols, as well as the source water quality, can greatly impact the longevity of these systems. This study evaluated 10 subsurface drip irrigation systems in 2008 and 8 additional systems in 2009 that had been in operation between 6 and 20 years. System uniformity was evaluated by the uniformity parameters, emitter discharge variation, q var, and the lower quartile distribution uniformity of emitter discharge, DU lq. Pressure measurements along the dripline also were used to determine if qvar was primarily explained by friction losses. Two-thirds of the evaluated SDI systems had q var less than 20% and DU lq greater than 80 which would be acceptable and one-third of the systems had q var less than 10% and DU lq greater than 90 which would be good to excellent uniformity. There was very little correlation in system uniformity and system life with the oldest system (20 years) having the greatest uniformity. Uniformity problems on nearly two-thirds of the systems appeared to have been exacerbated by incorrect operating pressure (both too low and too high) with the six best performing systems operating between 65% and 100% of the manufacturer's specified nominal operating pressure. Water hardness and total dissolved salts were the major water quality concerns. Poor maintenance (e.g., no or infrequent chlorination; inadequate filtration system backflushing) appeared to reduce uniformity in between one-third and one-half of the systems. The producer's lack of installation records and operator's guides likely negatively impacted system uniformity through these poor management and maintenance procedures. The use of both q var and DU lq to evaluate performance of SDI systems appeared to enhance the determination of the primary causes of SDI system nonuniformity. © 2011 American Society of Agricultural and Biological Engineers.
Purpose ‐ The purpose of this paper is to explore and study the aspects of usability related to eMaintenance solutions. The study aims to expand the domain of eMaintenance by increasing the usefulness of the computerized maintenance management systems (CMMS) through improved usability. Design/methodology/approach ‐ The paper opted for an exploratory study using interviews, one expert focus group discussion, and observations. Findings ‐ The paper provides insights on specific usability characteristics that can be adapted to eMaintenance solutions for industrial usage, e.g. aviation and process industry. The findings show that the current implementations of eMaintenance solutions in CMMS, in many cases, suffer from an insufficient level of usability. This has led to usability issues resulting in errors and mistakes. The result is a call for a more user-based focus, in which, the system needs to be easily understood, easily navigated, containing the necessary information to conduct maintenance tasks, tracking of the work conducted and who was involved, and the system needs to be compatible with other systems so that necessary information can be accessed via the CMMS. Research limitations/implications ‐ Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications ‐ The paper includes implications for the development of a CMMS, which could have positive effects for maintenance tasks. Originality/value ‐ This paper fulfills an identified need to study how CMMS actually fulfill the task they are designed to do.
Purpose
– A major role of facilities management is ensuring the useability, reliability, and safety of the asset being managed. To achieve this management must use a system to control the maintenance function. The purpose of the paper is to identify and describe the various maintenance management models and systems available for facilities managers to consider.
Design/methodology/approach
– Two comprehensive reviews of the literature were undertaken to categorise the various maintenance management models and identify popular models in practice.
Findings
– The review identified 37 maintenance management models. From these, four were found to be popular: total productive maintenance (TPM), condition-based maintenance (CBM), reliability-centred maintenance (RCM), and condition monitoring (CM). While many thousands of papers can be found of these four models, the support in the literature for the remaining 33 models is very limited.
Research limitations/implications
– While providing a sound foundation for future research, the papers findings are based solely on reviewing literature.
Practical implications
– For facilities managers seeking to expand their knowledge of a particular model or maintenance management systems in general, the paper provides a practical understanding.
Originality/value
– Papers focused solely on identifying and describing maintenance management models are scarce and this paper makes a concerted attempt to link academic research with management practitioners.
Purpose
– Healthcare facility managers work in complex and dynamic environments where critical decisions are constantly made. Providing them with enhanced decision support systems would result in a positive impact on the productivity and success of the projects they undertake, as well as the sustainability of critical healthcare infrastructure. The purpose of this paper is to propose a conceptual ambient intelligent environment for enhancing the decision-making process of the facility managers. This low-cost data-rich environment would use building information modeling (BIM) and mobile augmented reality (MAR) as technological bases for the natural human-computer interfaces and aerial drones as technological tools.
Design/methodology/approach
– This paper presents a scenario for the integration of augmented reality (AR) and building information modeling (BIM) to build an ambient intelligent (AmI) environment for facility managers where mobile, natural, user interfaces would provide the users with required data to facilitate their critical decision-making process. The technological requirements for having such an intelligent environment are also discussed.
Findings
– The proposed BIM-MAR-based approach is capable of enhancing maintenance related practices for facility managers who are mobile to integrate with their facilities' intelligent environment. This approach is also capable of providing a collaborative environment in which different stakeholders, across geographically distributed areas, could work together to solve facility management tasks.
Originality/value
– In this paper ambient intelligence will be considered for the first time in the area of healthcare facility management practices to provide facility managers with an intelligent BIM-based environment to access facility information and consequently enhance their decision-making process.
Many hotels are using computerised maintenance management systems (CMMS) to organize building and facility maintenance works. The data recorded by a CMMS are useful information to assessment of maintenance performance but few have paid attention to this application. The findings of a pilot case study conducted based on a 618-room hotel in Hong Kong, as reported in this paper, include how the hotel's CMMS was utilized to facilitate maintenance work organization and the analyses of the CMMS records and associated documentary information for a 12-month period. The study revealed that the maintenance workload was dominated by electrical installations, and the guestrooms demanded for far more maintenance works than the other areas. Significant correlation was found between equipment downtime and amount of maintenance work orders. A range of performance curves and indicators which is useful for assessing maintenance performance of hotel engineering facilities is also presented.
In this article, we provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development. We present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests. We discuss the comparative advantages of this approach over a one-step approach. Considerations in specification, assessment of fit, and respecification of measurement models using confirmatory factor analysis are reviewed. As background to the two-step approach, the distinction between exploratory and confirmatory analysis, the distinction between complementary approaches for theory testing versus predictive application, and some developments in estimation methods also are discussed.
Resource allocation is a key challenge for healthcare decision makers. While several case studies of organizational practice exist, there have been few large-scale cross-organization comparisons.
Between January and April 2011, we conducted an on-line survey of senior decision makers within regional health authorities (and closely equivalent organizations) across all Canadian provinces and territories. We received returns from 92 individual managers, from 60 out of 89 organizations in total. The survey inquired about structures, process features, and behaviours related to organization-wide resource allocation decisions. We focus here on three main aspects: type of process, perceived fairness, and overall rating.
About one-half of respondents indicated that their organization used a formal process for resource allocation, while the others reported that political or historical factors were predominant. Seventy percent (70%) of respondents self-reported that their resource allocation process was fair and just over one-half assessed their process as 'good' or 'very good'. This paper explores these findings in greater detail and assesses them in context of the larger literature.
Data from this large-scale cross-jurisdictional survey helps to illustrate common challenges and areas of positive performance among Canada's health system leadership teams.
Purpose
The purpose of this paper is to review the literature on maintenance management and suggest possible gaps from the point of view of researchers and practitioners.
Design/methodology/approach
The paper systematically categorizes the published literature and then analyzes and reviews it methodically.
Findings
The paper finds that important issues in maintenance management range from various optimization models, maintenance techniques, scheduling, and information systems etc. Within each category, gaps have been identified. A new shift in maintenance paradigm is also highlighted.
Practical implications
Literature on classification of maintenance management has so far been very limited. This paper reviews a large number of papers in this field and suggests a classification in to various areas and sub areas. Subsequently, various emerging trends in the field of maintenance management are identified to help researchers specifying gaps in the literature and direct research efforts suitably.
Originality/value
The paper contains a comprehensive listing of publications on the field in question and their classification according to various attributes. The paper will be useful to researchers, maintenance professionals and others concerned with maintenance to understand the importance of maintenance management
Purpose – This research aims to examine the relevant literature related to maintenance performance measurement in the manufacturing sector. In the process, innovative approaches and models utilized to measure and manage maintenance performance in manufacturing operational settings are classified and examined. Based on this investigation, future research directions and themes are identified.
Design/methodology/approach – A database of 251 peer-reviewed publications, published during the last 30 years, was utilized for the purpose of this research. The published works included contributions from both practitioners and scholars.
Findings – This literature review-based research revealed important themes related to evolution of maintenance performance management. These themes focus on the effective utilization of maintenance resources, information systems support, and human factor management. Based on this literature review, a conceptual framework, which traces the different operational and organizational facets of the evolution of maintenance performance management, is offered.
Research limitations/implications – Based on the findings of this study, it is concluded that the area of maintenance performance and management is in need of more future systematic research efforts aimed at solidifying theoretical constructs and promoting the utilization of more practical applications.
Practical implications – Findings derived from this investigation have relevant manufacturing implications. In this context, understanding the different approaches to maintenance performance measurement and management, as utilized in manufacturing organizations, is critical to these organizations’ performance improvement efforts.
Increased global competition has augmented the importance of total productive maintenance (TPM) in obtaining and maintaining a competitive advantage. More and more organizations are seeking proactive tools such as TPM to enhance their competitive position. The paper focuses on gaining insights into the impact of TPM on the performance of the organization. There is support for a positive correlation between TPM and business performance. There is also a positive correlation between TPM and business performance shown by all the six general constructs of corporate planning, top management leadership, human resource focus, process focus, total quality management focus and information system focus, and the three specific constructs of TPM strategies, TPM teams and TPM process focus. Clearly, this indicates the need for TPM to be an integrated effort for the entire organization. In addition, experienced and large TPM firms fare better in terms of business performance while there are no differences in the performance of manufacturing and services.
Today the number of industries putting emphasis on maximising Overall Equipment Effectiveness (OEE) is rapidly increasing. Instead of looking only at one aspect of production, modern enterprises seek to plant a series of joint activities, aimed at minimising losses, by improving on Performance, Quality and Availability at the same time. Emphasising these three factors simultaneously leads to the introduction of efficient maintenance, including sound strategies, such as Condition Based Maintenance (CBM). The incorporation of key enabling technologies within a Condition Based Maintenance strategy, such as wireless networking, internet & mobile computing, minature sensing devices and location awareness, has paved the way to the introduction of e- Maintenance. The paper looks at the key features pertaining to the successful implementation of e-Maintenance into modern industry. It then highlights steps taken towards the design and implementation of an e-Maintenance architecture within the EU Integrated Project 'Dynamite'. The paper concludes with a discussion on current challenges and future prospects of e-Maintenance.
While Total Productive Maintenance (TPM) has been promoted for its simplicity and its benefits to the maintenance delivery system, both the academic and practitioner literature has failed to identify the contextual issues that influence TPM adoption. This paper explores the contextual differences of plants to better understand what types of companies have adopted TPM programs. We propose a theoretical framework for understanding the use of TPM and how it depends on managerial factors such as Just‐in‐Time (JIT), Total Quality Management (TQM) and Employee Involvement (EI) as well as environmental and organizational factors such as country, industry and company characteristics. We test this framework using data from 97 plants in three different countries to determine what types of companies are most likely to aggressively pursue TPM practices. We find that specific contextual variables explain a significant portion of the variance in the level of TPM implementation. Our results indicate that while environmental contextual factors, such as country, help to explain differences in TPM implementation, managerial contextual factors, which are under the direction of plant management, are more important to the execution of TPM programs. We discuss environmental, organizational and managerial issues that should be considered when developing or improving maintenance systems.
Research on Total Quality Management (TQM), Just‐in‐Time (JIT) and Total Productive Maintenance (TPM) generally investigates the implementation and impact of these manufacturing programs in isolation. However, many researchers believe and argue conceptually the value of understanding the joint implementation and effect of manufacturing programs. This study investigates the practices of the three programs simultaneously. We find that there is evidence supporting the compatibility of the practices in these programs and that manufacturing performance is associated with the level of implementation of both socially‐ and technically‐oriented practices of the three programs.
Purpose
The purpose of this paper is to examine the multidimensionality of total productive maintenance (TPM) and its relationship with manufacturing performance improvement in the Malaysian manufacturing sector. Specifically, this study evaluates the contribution of each TPM success factors in improving manufacturing performance.
Design/methodology/approach
Data from 89 employees who participated in the survey were used to test the proposed research framework. A structured questionnaire adopted from Ahuja and Khamba (2006) was used to assess the Malaysian context.
Findings
The analytical results reveal that traditional maintenance initiatives and TPM implementation initiatives significantly affect manufacturing performance, but not top management leadership and maintenance organisation. Top management roles and commitment are critical in the early stage to determine the master plan and initiate the implementation of the whole programme. However, traditional maintenance and TPM implementation initiatives gradually enable engagement, proper planning, right execution and continuous improvement, ultimately improving the manufacturing performance indicators significantly. The findings further unveil that TPM is not sustainable in Malaysia’s manufacturing organisations in the long run.
Practical implications
This analysis is vital for senior managers of manufacturing organisations that have implemented TPM or are considering introducing TPM in their organisations.
Originality/value
This study contributes to the literature by examining beyond the introduction and stabilisation phase of TPM to provide an insight of whether TPM is sustainable in the long run.
The revival of the 16th century practice of the machine operator himself doing the routine machine maintenance is one of the most significant steps in lifting up the quality of production. The operator feels responsible not only for the output and quality of his output, but also for proper working of his machine. This also motivates him to take part wholeheartedly in the quality circle meetings and put forward his suggestions for the improvement of machine performance. This modern practice is aptly called Total Productive Maintenance (TPM). This chapter discusses the history of the development of this concept and highlights its various aspects in relation to the TPM philosophy, which is an integral part of the Total Quality Management philosophy.
In this information age, data has become one of the most important resources to organizations. The effective and efficient management of large quantities of data is a common problem found in many industries. Modern computers offers the capability to maintain accurate records, update them instantly with most recent information and do accurate calculating for more rapidly than human can. Maintenance management should be effective so that there should not be any loss of production because of maintenance. To make the maintenance system effective, it is essential to keep track of all the information related to maintenance. The objective of maintenance Management System is to provide timely and accurate information to the required personal. This paper studies manual maintenance system in detail which involves manual job of computation. Obviously this system is prone to delay in getting the information at the right time and proposes a computerized maintenance management information system for a process industry. This information system is designated to assist management in monitoring and controlling maintenance activities. The result of computerized maintenance management system is proper recording of data/information, Generate reports which helps in day to day decision making and in long term planning, reduction in down time, reduction in maintenance cost, increased productivity, reduced inventory costs etc
Product manufacturers are extending their responsibilities in the whole life cycle by providing services to their customers. In recent years, product service system has become an important research topic to address the special requirements in the new service driven business model. High value machine tools in modern manufacturing factories are special products: they are regarded as ‘products’ from maintenance point of view, and they also manufacture other products. In the new business model, the quality and behavior of a machine tool not only affect the quality of the parts it manufactures, but also affect the profits of the machine tool’s manufacturer. However, in the research area of product service systems and related computerized maintenance systems, there is a lack of investigation into the special nature, problems and requirements of high value machine tool maintenance, which are very important in modern digitized manufacturing systems. Therefore, this research investigated the various relationships between different stakeholders in the machine tools’ lifecycle, focusing on knowledge management, communication and the decision-making processes. This research also explored the potential application of advanced content management systems, which are widely implemented in the financial, business and government organizations, in the manufacturing engineering domain which has been dominated by traditional engineering information systems. A prototype collaborative maintenance planning system is proposed, developed and evaluated using an example machine tool, which indicated that significant improvement could be achieved and the content management technology has a number of advantages over the traditional engineering information systems, such as computer aided engineering, product data and lifecycle management, and enterprise resource planning systems, in managing machine tool maintenance and service information including dynamic and unstructured knowledge.
The growth of world-class manufacturing companies and global competition caused significant changes in the manufacturing companies operations. These changes have affected maintenance and made its role even more crucial to stay ahead of the competition. Maintenance strategy selection is one of the strategic decision-making issues that manufacturing companies in the current competitive world are facing. In this paper, a comparison between different Multiple Criteria Decision Making (MCDM) approaches is conducted in a dairy manufacturing factory to rank the maintenance strategies. The aim is to suggest an appropriate approach for the best selection of the maintenance strategy. The decision-making elements including evaluation criteria/sub-criteria and problem alternatives, i.e., maintenance strategies are determined and a group of experts from the case-study factory are asked to make their pair-wise comparisons. The pair-wise comparison matrix is constructed by using the crisp and triangular fuzzy numbers, while the aggregation of individual priorities (AIP) approach is utilized to aggregate the decision-makers’ judgments. The priority vectors of decision elements are calculated by Mikhailov’s fuzzy preference programming (FPP) methods and the final weights of the decision elements are found. Results show that when the effectiveness of one element on the other elements is higher, it will have greater weights; and therefore, the results from the analytic network process (ANP) method is completely different from those of the analytic hierarchy process (AHP). The reason for the differences between the AHP and Fuzzy AHP (FAHP) with the ANP and Fuzzy ANP (FANP) is that both AHP and FAHP evaluate the criteria only based on the level of importance and do not consider the interdependencies and interactions among the evaluation elements. In this research, a predictive maintenance is selected as the most appropriate strategy in the case company and the preventive strategies outperformed the corrective strategies. The results of this research are consistent with the results of previous studies found in the literature.
The Computerized Maintenance Management System (CMMS) provides a complete and integrated managed solution for the operational maintenance of data center sites, from stand-alone data center facilities to tenant-space computer rooms and their related support infrastructure. CMMS software is the most efficient way to schedule maintenance, create and maintain an accurate and detailed inventory, and store important documentation. A Scope-of-Work (SOW) Management tool inside a CMMS application usually consists of a service routine work engine that allows for the construction of a step-by-step task definition of the work to be performed. The report functionality is a vital part of any CMMS application. One of the most functional parts of any CMMS tool is the user portal. Selecting an appropriate CMMS for an organization will allow its facility management staff to monitor all enterprise assets, their conditions, and their work processes.
Maintenance practices are those systematic activities that are geared towards the actual execution and improvement of maintenance. Maintenance plays a major role in ensuring that an organization remains productive and competitive. It is primarily dependent on an organization’s objectives, products, structure, internal and external constraints under which it has to function. From these, various elements and aspects of maintenance practices can be identified. By evaluating maintenance practices, it is possible to establish how well an organization is performing when compared to other organizations of a similar nature. There is no well defined framework for identifying and evaluating maintenance practices. This paper proposes a framework for evaluating and rating maintenance practices to enable an organization to gauge how well developed its maintenance practices are. The framework starts by classifying maintenance practices according to their core function, which can either be maintenance execution or maintenance improvement. It further defines sub-classification of these functions as technical, managerial or human, and identifies five levels describing the advancement of maintenance practices. The lowest level defines practices that lean towards little to no understanding of best maintenance practices, while the highest level defines the best maintenance practices that an organization should be pursuing. Using a scoring and ranking criteria, an organization can be placed in one of the five levels. The tool developed in this paper can be used by an organization to identify maintenance practices that require improvement in order to bring the organizations practices to an acceptable level.
Purpose
– World-class total productive maintenance (TPM) status depends on critical success factors (CSF) to be properly implemented. The relevant literature has identified several CSF; however, researchers have not investigated the degree of importance of each phase of the process. The purpose of this paper is to prioritize the CSFs that influence TPM implementation during each phase of the process in order to aid decision making in companies.
Design/methodology/approach
– The main CSF are identified from a literature review. This paper focusses on the judgments of managers who are experts in TPM implementation in companies which have received TPM awards for excellence. The judgments are processed using the analytic hierarchy process (AHP) method. Three aggregation methods (geometric mean, Copeland and fuzzy) are employed for comparative analysis.
Findings
– Although the literature highlights some important CSF, the relevance of these factors is not the same in each phase of TPM implementation. Analysis shows that ranking using the Copeland method is most coherent.
Research limitations/implications
– This research was carried out in some Brazilian companies.
Practical implications
– If managers are aware of the CSF to be prioritized in each phase, this facilitates decision making, resulting in a more effective implementation of TPM.
Social implications
– If TPM implementation is effective, this stimulates the personnel involved and avoids the possibility of the program being abandoned.
Originality/value
– The originality of this paper consists in the proposed model to prioritize CSF during each phase of the implementation of TPM.
A field survey was conducted to determine key organizational factors that facilitate and/or inhibit the development of strategic applications of information technology (IT) in business firms. A comprehensive list of potential facilitators and inhibitors for the strategic use of information technology was derived from past research and used as the basis for collecting data from 121 firms. These data were factor-analyzed to determine the key underlying dimensions of facilitators and inhibitors. On the basis of the resulting seven dimensions, stepwise discriminant analysis was used to compare companies that have used IT applications for strategic purposes and companies that have not done so. The results suggest that innovative needs, competitive position, environment, economies of scale, and top management guidance are the most important facilitators, while the lack of IT drivers, the lack of economies of scale, and the lack of innovative needs are the most important inhibitors.
This paper investigates the relationship between organizational technology, specifically the degree of routineness of work, and the social structure and goals of health and welfare organizations. Hypotheses relating four aspects of social structure and two aspects of organizational goals with the degree of routine work are tested with data from sixteen social welfare and health organizations located in a midwestern metropolis in 1967. The social structure of organizations with more routine work are found to be more centralized, more formalized, and to have less professionally trained staffs, but no relationship with stratification is found. Organizations with routine work are further found to emphasize goals of efficiency and the quantity of clients served, not innovativeness, staff morale, or quality of client services.
Purpose
– Maintenance and its management has moved from being considered a “necessary evil” to being of strategic importance for most competitive organisations around the world. In terms of the identification and use of organisational-wide maintenance management models the picture is not clears from both a literature and practical perspective. The purpose of this paper is to shed light on the various models and their use in real-world applications, and in doing so, explores the gap between academic research and practice.
Design/methodology/approach
– For this paper two comprehensive reviews of the literature were undertaken, first, to identify and categorise the various maintenance management models, and second, to determine the depth of empirical evidence for the popular models in real-world applications. Descriptive analysis of both the practical examples and empirical evidence rates (EER) for maintenance related journals is provided.
Findings
– Within the literature 37 maintenance management models were identified and categorised. From these, three models were found to be popular: total productive maintenance (TPM), condition based maintenance, and reliability centred maintenance. While several thousand papers discussed these three models, only 82 articles were found to provide empirical evidence.
Research limitations/implications
– While providing a sound foundation for future research the outcomes are based solely on academic literature. Analysis of EER outside the field of maintenance is needed to make comparisons.
Practical implications
– The paper offers practitioners a detailed contemporary overview of maintenance management models along with tabulated results of practical examples to present day organisations. Such practical-focused papers are very limited within academic literature.
Social implications
– With EER as low as 1.5 per cent for some journals this paper acts as a reminder to researchers that they have an obligation to society to spend taxpayer funded research on addressing social needs and real-world problems.
Originality/value
– This paper makes a concerted attempt to link academic research with management and operational practitioners. While the paper is critical of the current academic imbalance between theory and practice, a number of suggestions to improve EER are offered in the conclusions.
Research on quality had always been the key problem in study on enterprise management. As the product quality always depends upon the organisation's infrastructural adequacies and abilities of the organisation and how well they manage their equipment and facilities. The quality requirements all over the world had forced industries to use tools such as total quality management (TQM) and total productive maintenance (TPM), effectively to get higher achievements in business performance. This empirical research evaluates the combined TQM-TPM strategic factors to determine the critical success factors in environmental uncertainty using analytical hierarchy process. The study decision criteria include TQM, TPM and transfusion of TQM-TPM, whereas the competitive advantages taken are strategic business performance, quality, production, cost, employee safety and morale. The research findings are applicable to manufacturing organisations, suggesting them the adoption of flexibility of TQM-TPM as a major competitive advantage with a higher uncertainty and delivery with a lower uncertainty.
The global marketplace has become increasingly competitive in recent times, and organisations are faced with the challenge of effecting continuous improvement in services for sustained user satisfaction. The recent competitive trends have been pushing manufacturing managers to reconsider the impact and importance of increasing equipment availability and utilisation, increasing maintenance productivity, resource utilisation and increasing quality and responsiveness of maintenance services in achieving world-class status to meet global competition. For years, maintenance has been treated as a dirty, boring, ad hoc and a neglected job. It has seen as critical for maintaining productivity but has yet to be recognised as a key component of revenue generation. In the past several decades, maintenance problems have been studied intensely. The study highlights the achievements of an Indian manufacturing organisation through successful implementation of strategic total productive maintenance (TPM) initiatives and demonstrates the true potential of TPM in achieving manufacturing excellence.
Purpose
– The purpose of this paper is to identify the relationship between TPM programme and manufacturing performance in Indian manufacturing industries; to discern the benefits obtained from TPM implementation; to identify common indicators; and to explore the common expectation while TPM implementation.
Design/methodology/approach
– In this paper acceptability and implementation of TPM programme in Indian manufacturing industry have been elaborated to ascertain the tangible and intangible benefits accrued as a result of successful TPM implementation. A semi-structured questionnaire survey approach has been adopted for the justification of TPM implementation and benefits gained by it in Indian context. Survey has covered mainly automobile and machinery sector throughout India. A total of 57 filled responses have been received and analysed to find the impact of TPM programme on manufacturing productivity.
Findings
– The paper establishes the impact of successful TPM implementation on manufacturing performance. TPM initiatives have shown marked improvement in the equipment availability, performance and produced quality and have also brought appreciable improvement in other manufacturing functions in the organizations. It has been observed that TPM deployment contributes to improve the manufacturing productivity, quality, delivery, safety, morale, ensuring the cost effectiveness of the manufacturing function within the organization. The paper also indicates that overall equipment effectiveness (OEE) can be used for performance improvement without TPM implementation.
Research limitations/implications
– Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.
Practical implications
– This paper highlights the contribution of TPM programme and OEE measure to ensure enhanced manufacturing productivity. The benefits gained by TPM implementation in selected Indian manufacturing industries have been highlighted, that could be genuine source of motivation to other manufacturing organizations to go in for TPM programme.
Originality/value
– The present study encompasses systematic identification of factors affecting overall organizational performance and the common expectations of the firms through implementation of TPM programme. TPM initiatives provide regular OEE measure, performance monitoring and improvement, and developing guidelines for achieving enhanced manufacturing productivity.
Purpose
– Enterprise architecture (EA) aligns information systems with business processes to enable firms to reach their strategic objectives and, when effectively employed by organizations, can lead to enhanced levels of performance. However, while many firms may adopt EA, it is often not used extensively. The purpose of this paper is to examine how performance expectancy (PE) and training affect the degree to which organizations use EA.
Design/methodology/approach
– The paper employed a survey method to gather data from IT professionals, senior managers, and consultants who work within organizations that have adopted EA. Covariance-based structural equation modeling was used to analyze the research model and test the hypotheses.
Findings
– The paper found PE to be a significant predictor of EA use. In addition, training is also shown to enhance use of EA while also playing a mediating role within the relationship between PE and use of EA.
Research limitations/implications
– The study is limited by the focus only on training as an intervention. Other mediators and/or moderators such as top management support and organization culture may also play an important role and should be examined in future studies. Nonetheless, the study demonstrates the critical role that training can play in facilitating widespread use of EA within organizations.
Practical implications
– Widespread use is a critical success factor for organizations that want to gain the maximum possible benefit from EA. To achieve extensive use, the study suggests that organizations that adopt EA should consider implementing a formal and robust education and training program.
Originality/value
– This study extends the research on information technology training by examining the role of training as an intervention within the technology acceptance paradigm. The paper also contributes to the literature regarding post-adoption innovation diffusion by demonstrating the efficacy of organizational training in promoting widespread usage.
The selection of staff is always a critical success factor for managers in the hospitality service sector. This work focuses on the front-line employees and supervisors of international tourist hotels as the study subjects to explore the direct effects of the individual guanxi networks and POS (perceived organizational support) of hotel staff on their job involvement, and examines the indirect effects of these via personality characteristics. For this paper, questionnaire surveys were utilized; 246 questionnaires returned, of which 221 were deemed valid samples appropriate for further analysis. Reliability analysis, EFA, CFA, and SEM were used to examine the data.After integrating the results from the empirical analysis, the findings of the study are as follows: (1) POS had a significant positive correlation and effect on personality characteristics and job involvement; (2) individual guanxi networks had a significant positive correlation and effect on POS and personality characteristics; (3) individual guanxi networks had an indirect effect on job involvement via employees’ personality characteristics and POS. This means that personal characteristics and POS can mediate the relationship between individual guanxi networks and job involvement. The findings of this research are discussed, and the conclusions and limitations are presented, along with suggestions for both academics and managers.
Total productive maintenance TPM provides an essential underpinning to the introduction of total quality management in manufacturing industries. This paper considers the nature of TPM and its merits and application in the foundry industries of the UK and Japan, and proposes a generic model to facilitate its wider implementation.
Details how Land-Rover was one of the leading companies in the UK to adopt total quality management (TQM). Shows that in order to provide both effective and efficient maintenance in accordance with TQM needs, Land-Rover (LR) reintroduced in 1994 total productive maintenance (TPM) in its manufacturing plant in Birmingham, UK. TQM is not possible without TPM so demonstrates how, in order to achieve its goals, TPM in LR is assisted by a computerized maintenance management system (CMMS). Describes in full the implementation steps of TPM, the difficulties encountered, and the usefulness and necessity of a computerized maintenance management system (CMMS) for the successful implementation of TPM in LR.
The literature on strategic uses of information technology suggests that "champions" are often a key to successful implementation. This article describes a field study of 15 information technology (IT) champions and their needs for support from their information systems units. Innovation research is used to hypothesize that IT champions, like other champions, need information, technical resources, and political support from their information systems department units. Interview findings suggest that IT champions strongly value (1) assistance in developing information to help sell their IT vision, (2) a flexible implementation process, and (3) legitimation of their ideas for using information technology. Moreover, IT champions do not want bureaucratic process or arm's length dealings with information systems departments. The way a firm should conduct its dealings with an IT champion depends in large part on a number of organizational factors, including the IS department's mission.
Represents a comprehensive review of the literature by discussing critical factors of TQM in key areas often stressed in implementation case studies, and supported by quality gurus and writers. Such factors are considered as being conducive to the success of TQM implementation. Discusses these factors from the point of view of how and why. There appears to be little agreement on the what, so an understanding of the “processes” involved in implementation allows for the appropriate framing and objective classification of key factors for TQM implementation. Part I discusses quality factors related to: leadership; internal stakeholders’ management; policy and strategy. In all, 98 examples of best practice are referred to, to illustrate how the various critical fields of TQM have successfully been put in place.
Purpose – The aim of this paper is to present a generic model on using the total productive maintenance (TPM) concept in conjunction with ecology oriented manufacturing (EOM) and 5S focusing on their joint strengths in attaining organizational goals in furtherance to the equipment maintenance objectives. Design/methodology/approach – A systematic implementation-framework coupled with the standard tools, techniques and practices has been designed. The framework was applied in a large semiconductor manufacturing company. Findings – It is evident that a well drawn TPM implementation plan not only improves equipment efficiency and effectiveness but also brings appreciable improvements in other areas such as reduction of manufacturing cycle time, size of inventory, customer complaints, and creates cohesive small group autonomous teams and increases the skill and confidence of individuals. The resulting system is found to be more productive in terms of both partial and total productivity measures. This is in line with the current need of manufacturing companies to have an integrated manufacturing management system (IMMS) in order to simultaneously increasing efficiency and improving effectiveness. Practical implications – The applied framework can be mimicked by other manufacturing organizations and similar results could be brought about. As the implementation of TMP in conjunction with the EOM and 5S has come out successful, this can be combined with other manufacturing planning and control (MPC) systems (viz. JIT, MRPII/ERP) to develop an IT-based IMMS. Originality/value – The case study presented here shows that the applications of TPM through the fulfillment of its basic requirements can significantly enhance the accomplishment of organizational objectives beyond the equipment maintenance-subsystem goals and add an array of benefits in the value chain across the various functional areas.
Purpose – The purpose of this paper is to discuss the effect of management and decision-making styles on the job satisfaction of academic staff in a Malaysian Research University. Design/methodology/approach – The sample consisted of 218 respondents. The instruments used in the study were the Teacher Job Satisfaction Questionnaire and the Decision Style Inventory. Structural Equation Modelling (SEM) was used to determine the influence of decision-making style and management style on the job satisfaction. Findings – The findings showed that the research university had adopted an analytical decision-making style. The hygiene factors were the predictors of job satisfaction as perceived by the academic staff at the research university in Malaysia. Research limitations/implications – This research selected a top Malaysian research university and small samples were selected from the whole population under consideration, thus, the findings can be generalized as similar to other research universities. In addition, the university management determines the decision-making style, and the job satisfaction of the academic staff is affected by the decision-making style of the university. Originality/value – A contribution is made to the literature as the research reinforces the view that the management style and decision-making style can predict or affect the job satisfaction of the academic staff.
Maintenance management consists of an aggregate effort to perform
maintenance by effectively utilizing manpower and material through the
application of standard procedures. It is a complex and multifaceted
task. An ever-growing number of computerized maintenance management
information systems are available on the market to facilitate this task.
In order to install a computerized maintenance management system, a
company has two options: either to buy or to develop such a system.
Briefly describes the major functions of maintenance management and
suggests an instrument to evaluate comparatively the available
computerized maintenance management systems.
Previous experimental studies of participation have typically examined its motivational (especially commitment) benefits. These studies showed that these benefits are neither large nor consistent. The present study focused on the cognitive benefits of participation in decision making (pdm) and on the role of a different motivational mediator, self-efficacy. Unlike previous research which claimed to study the cognitive (informational) effects of participation, the present experiment: (a) allowed the information concerning task strategies to emerge from group discussion rather than being manipulated by the experimenter; (b) measured the actual strategies that were developed and used by subjects in the pdm condition; and (c) measured self-efficacy which was associated with the discovery and use of these strategies. It was found that the strategies developed by the subjects and their self-efficacy completely mediated the effect of participation on performance. Further, participation in setting goals, consistent with previous studies, did not affect performance but did affect self-efficacy.