ArticlePDF Available

Improving order-picking process through implementation of warehouse management system

Authors:

Abstract and Figures

For the purpose of timely response to requests of any participant in the supply chain, warehouse, as an integral part of every logistics system, can be found at any place in the supply chain, between suppliers and customers. In that sense, warehouse management involves the control and optimization of the complex warehouse and distribution system. It might be said that warehousing and inventory management represent support to the production process and strive to complete coordination in relations with all functions, such as marketing, finance, human resources etc. Therefore, any disruption in coordination can cause serious problems throughout the whole business process. When there is a need for achieving operational efficiency and cost savings, warehouse management and warehouse operations are appropriate areas, in terms of achieving savings which will not jeopardize the quality of products and services. Especially, order-picking, as part of the warehousing process, is one of the most important activities when it is about providing savings. Order-picking process involves taking raw materials/products from a specific location in the warehouse, for responding to requirements of production and/or customers. It is estimated that the costs of orderpicking participate with 55% in total cost of warehousing. However, elimination of this activity can increase the level of dissatisfaction of partners in the supply chain, and, in that way, increase the cost of lost sales. In this regard, one should not consider elimination of order-picking from the warehousing process as an option, but rather find a way to increase its efficiency. Due to their flexibility in the order-picking process, people cannot be fully replaced by machines and technologies. However, equipment of orders-picking process by the adequate technology could increase efficiency of process and productivity of employees in the warehouse. In that sense, warehouse management system (WMS) is an information technology whose implementation has a aim to increase efficiency of processes performed in warehouse. Therefore, the aim of the paper is to emphasize the importance of implementing a warehouse management system for improving the order-picking process, as warehouse activity. In order to accomplish this aim, empirical research has been conducted. A random sample of companies specialized for performing distribution activities has been chosen. Authors of the paper have analysed which segment of order-picking process can achieve maximum benefits from implementation of this technology, but also are there any limitations in terms of implementation of WMS. Based on the statistical methods (descriptive statistics and cluster analyses), through the SPSS software package, the results presented in the paper indicate the segments of order-picking process which are mostly improved by implementing the WMS, as information technology.
Content may be subject to copyright.
A preview of the PDF is not available
... Customers' increasing demand for products and services has prompted organizations to look for ways to improve efficiency in their operations. Internal logistics and warehousing are considered areas with significant potential for improvement by many businesses, and can have a positive impact on the business's operational efficiency [1]. Warehousing operations are critical to an organization's operational performance because they encourage and support the fulfillment of a customer's set of criteria and expectations along the supply chain. ...
... Warehousing operations are critical to an organization's operational performance because they encourage and support the fulfillment of a customer's set of criteria and expectations along the supply chain. Inventory management has a big impact on logistics performance indices, especially for companies that want to save costs and enhance efficiency in their product preparation and delivery procedures [1]. In affluent countries, warehouses account for approximately 15% of total logistics expenses [2]. ...
... Therefore, the effective warehouse management, quantity optimization and automation of the purchasing process are important. According to Anđelković and Radosavljević (2018), the functioning of order-picking process, which is very significant in terms of contribution to the competitiveness of company, depends on information technology, such as warehouse managements system. ...
Article
Background: Scientific and technical progress are unstoppable. Nowadays, information technology affects every sphere of social and economic life. The automation of business processes is a common part of business and accounting practice. Moreover, the COVID-19 pandemic has accelerated the automation in companies. Regularly occurring transactions, which were performed manually before, are gradually being replaced by information technology and automatic robotic systems. The companies fully use cloud storages, artificial intelligence, or blockchain technologies. Purpose: The purpose of the paper is to identify areas and possibilities for improvement of business and accounting processes with use of information technologies, digitalization, and automation. Methodology: For the purpose of the paper, a standard methodology review of literature sources was performed. Then we conducted a brief questionnaire survey in order to find out the level of automation and digitization of business processes in companies in the Slovak Republic. Findings and conclusions: It is expected that, as a result of robotization and automation of business processes, some professions will gradually disappear within a few decades. Even the crisis related to COVID19 pandemic had an impact on the acceleration of using information technologies in business processes related to their digitalization and automation. The paper describes possibilities of automation with focus on e-shop, which make the processes safer, faster, more effective, eco-friendly, with fewer errors. On the other hand, there are some challenges and threats the accounting entities have to consider when implementing artificial intelligence, information technology in their business processes, such as cyber security, the Internet and electricity outages. We have observed that companies in Slovakia have their business processes more or less automated. However, the automation is the domain of bigger and multinational companies. The higher initial costs related to automation are limitation for smaller companies that need to consider benefits and costs the automation requires. Limitations and future research: Our paper is based on the theoretical background with a brief research in the area of implementing information technologies in companies in the Slovak Republic. The number of returned questionnaire surveys that were the base for our brief and initial research was very low. More detailed analysis of level of automation in the Slovak companies in comparison with companies abroad, their readiness for changes related to automation, as well as threats, challenges, pros and cons of automation may be the topic for the future research.
... In the period preceding the economic crisis caused by the COVID-19 virus, the global market was characterized by low fluctuations, with a stable supply chain based on the application of the 7P approach in distribution, with relatively low stocks and continuous food flow (Chenarides, Manfredo & Richards, 2021). Most pre-covid studies emphasize precisely the flexibility of the supply chain and its ability to respond to all market needs (Anđelković & Radosavljević, 2018;Trigeorgis & Tsekrekos, 2018). However, the proclamation of a global pandemic fundamentally changes the previous theoretical stronghold. ...
Article
The COVID-19 pandemic has entirely changed the patterns of behavior in the market. Physical distance, quarantine measures, safety and security protocols, and shortages along the entire supply chain, have particularly affected the placement of food products. In this regard, the paper aims to define the impact of various indicators on the placement of food products during the COVID-19 pandemic. An empirical study was conducted on a sample of 248 final consumers. The survey was conducted during the third wave of the COVID-19 pandemic in the territory of the Republic of Serbia (February - April 2021). An online questionnaire was created and forwarded to consumers to e-mail addresses from the collected databases of trade companies covering the domestic market. The analysis was performed specifically for four groups of essential food products in a pandemic: meat and meat products, fruit and vegetables, milk and dairy products, cereals, and cereal products. The method of structural modeling (SEM) or path analysis was applied to test the first group of research hypotheses on the impact of indicators on the placement of food products. Multiple regression analysis was used to examine the correlation between subcategories of food products. The results showed a statistically significant impact of indicators such as safety and security standards, hygiene, product freshness, nutritional composition, and product quality. The impact of these indicators differs significantly depending on the analyzed product group. The obtained results indicate to the supply chain management which negative impacts need to be minimized to ensure timely placement of food products and more efficiently meet the needs of final consumers in a pandemic. Guidelines for future research are listed in the paper.
... Numerous studies [4][5][6] have proven that the implementation of order-picking technology significantly affects business efficiency, enables cost reduction, and improves competitive advantage in the market. Today industrial processes need automation for an efficient and well-designed control system while soft computing approaches are most often used in these terms, as shown in [7]. ...
Article
Full-text available
Order-picking process management is one of the most demanding tasks within the operations of a warehouse system. It is especially evident in companies that have a high intensity of product flows, so the question of increasing the productivity of order picking arises. In this paper, a novel integrated fuzzy MCDM (Multicriteria Decision-Making) model was developed for the evaluation and selection of information technologies for order picking in a warehouse system, which is one of the most important novelties and contributions of the paper. Barcode, pick-to-light, pick-to-voice, and pick-to-vision technologies were evaluated based on IMF SWARA (improved fuzzy stepwise weight assessment ratio analysis) and fuzzy EDAS (evaluation based on distance from average solution) based on Z numbers. IMF SWARA-Z was applied to determine the importance of four criteria while the information technologies for order picking were evaluated with the fuzzy EDAS-Z method. The averaging of the estimates of the critera and alternatives was performed using the fuzzy Dombi aggregator. The results show that in this particular case under these research conditions, pick-to-vision is the best order-picking technology. Subsequently, validation tests were carried out, and they included the simulation of criteria weights and the impact of the reverse rank matrix.
... McCrea (2016) supports the benefits of implementing a WMS to improve the overall performance of the warehouse. This is supported by Andelkovic and Radosavljevic (2018), who discussed using WMS as location management, inventory management, and a tool to improve the productivity and efficiency of all processes in a warehouse. ...
Article
Full-text available
Distribution warehouses are a key element in competitive supply chains. However, although there is a growing need to reduce waste and non-value-adding activities to increase warehouse performance, insufficient research exists examining how warehouse managers can reduce operational waste in warehouse operations. To address these challenges, this article aims to validate a multi-method optimization approach for identifying and reducing operational waste in distribution warehouses. The approach integrates a unified modelling language activities diagram, system thinking method, value stream mapping, and Genba Shikumi, i.e., a quantitative tool based on successive correlation vectors and matrices, among other methods. Qualitative and quantitative information was used to validate the approach through an exploratory case study in Denmark. The significant research findings showed that the implemented approach is able to identify and prioritise the primary wastes in distribution warehouse operations. Furthermore, the study shows that the warehouse lead time could be reduced by 41.4% and the total value-added time by 81.5%, thus improving warehouse performance. Overall, the paper contributes to advancing knowledge and research on reducing operational waste in distribution warehouses by implementing an approach that helps companies identify and quantify the impact of non-value-adding activities. Lastly, findings suggest that the approach implemented could be applied in other similar contexts to identify and reduce waste to increase the performance of distribution warehouse operations.
... [9] Many research works are devoted to the implementing and improving of the WMS (see e.g. [8], [10], [11], [12]). As the demand on costs and transport optimization has been becoming more critical for enterprises in the last yers, the role of TMS as an effective instrument for planing and control of transport processes is become crusial for achieving of high logistics performance. ...
Chapter
In the last years strict quarantine regulations and the associated supply chain disturbances have changed the usual business processes, especially increasing logistics costs. In a pandemic environment, the rapid trend to online sales, and with it, the increase of turnover, have forced companies, especially logistics service providers, to look for solutions, which allow fast and accurate recognition of goods and establish the continuous control of material flow in all steps of the supply chain. One of the major problems in this field represents the lack of integration of yard, warehouse and transport management systems (YMS, WMS and TMS correspondingly), that results in schedule disturbances and uncontrolled material flow inside of a yard of logistics service providers. The goal of our work is to improve the YMS, obtaining new data about the status of the material flow object inside the yard of logistics complexes, using a universal RFID-based logistics complex model, which allows better integration of YMS with the WMS and TMS. Firstly, we provide a theoretical background of YMS and set up of the universal RFID-based logistics complex model. Then the model is mirrored in the software package AnyLogic, where three possible scenarios of transport vehicle identification are shown. Finally, the results and outlook of possible future research are presented.KeywordsLogisticsYard managementYMSRFID
... It improves the overall level of transportation and logistics. Branch transportation has strong flexibility, adaptability, and service distribution links, which can unify branch transportation and small processing, thereby optimizing and improving the transportation process [16]. ...
Article
Full-text available
In today’s rapid economic development, whether the factors of production can be reasonably allocated directly affects the utilization rate of resources. By further affecting the economic benefits, the importance of the logistics system in economic development can be clearly seen. However, with the deepening of economic development and the advantages of efficient and fast logistics, the proportion of production costs is increasing. The optimization of logistics scheduling problems is also on the agenda, but traditional scheduling optimization methods are not suitable for large scale complex problems, and interdisciplinary research provides new ideas for solving such problems. And by imitating the biological immune mechanism, the immune optimization algorithm has shown excellent performance in the research and application of each neighborhood. On this basis, this paper proposes an immune genetic algorithm to optimize the logistics scheduling problem, but the basic immune genetic algorithm has the problems of low local search ability and too fast algorithm speed. Based on the idea of clonal selection in biological immune system, a clonal immune genetic algorithm is proposed in this paper. Through simulation experiments on instances of different scales, the improved immune crown algorithm proposed in this paper can obtain the optimal solution of the problem within the same number of iterations, with an average solution probability of 30%. The quality and convergence speed are also significantly improved compared to the first two.
... Therefore, the effective warehouse management, quantity optimization and automation of the purchasing process are important. According to Anđelković, & Radosavljević (2018) the functioning of order-picking process, which is very significant in terms of contribution to the competitiveness of company, depends on information technology, such as Warehouse Managements System. Thus, the solution can be the investment into new technologies, such as semi-automated stackers with guidance, robotic registration sorting -packing line, automated table workstations, or the Autonomous Mobile Robots (AMR). ...
Conference Paper
Full-text available
The scientific and technical progress is unstoppable. Information technologies have an impact on every spheres of social life, including accounting. The automation of business processes is a common part of business and accounting practice. Manual, regularly occurring transactions, which are made by accountants nowadays, are gradually being replaced by information technologies and automatic robotic systems. The accounting entities fully use cloud storages, artificial intelligence, blockchain technologies, etc. It is even assumed that some professions, due to robotization and automation of business processes, will gradually disappear within a few decades. The digitalization and automation of business processes have recently been accelerated in many cases by the crisis related to the COVID-19 pandemic. The paper focuses on the assessment of the level of automation in different types of accounting entities, with an accent on automation in accounting practice, as well as on new challenges arising from it, many of which are the result of measures taken in the last two years due to the COVID-19 pandemic.
... Kinerja operasional mencakup aspek-aspek kuantitatif dari proses-proses organisasi untuk menghasilkan luaran berupa produk (Uraon & Gupta, 2019). Ia mencakup aspek penanganan material, manajemen bahan baku, kendali mutu, keberlanjutan pasokan dan produksi, pelayanan konsumen, tenaga kerja, dan biaya-biaya (Anđelković & Radosavljević, 2018). ...
Article
Full-text available
Pandemi Covid-19 merupakan gangguan yang substantif pada operasional perusahaan khususnya perusahaan yang tidak memungkinkan migrasi ke basis elektronik. Di sisi lain, sejumlah perusahaan akan dihadapkan pada permintaan yang mendadak khususnya jika perusahaan tersebut mengalami peningkatan peran yang vital pada masa pandemi. Pada kedua kasus, dapat terjadi depresiasi operasional baik karena operasional yang jauh di bawah kapasitas atau sebaliknya, jauh melebihi kapasitas. Sejumlah strategi diperlukan untuk menjaga keberlanjutan operasional perusahaan dalam situasi depresiasi operasional tersebut. Strategi ini dapat berupa pemeliharaan preventif, pemeliharaan jarak jauh, penerapan protokol keamanan dan kebersihan, optimisasi manajemen persediaan, pengawasan pada pengeluaran dan pemeliharaan operasional. Dalam makalah ini, melalui penelitian kuantitatif dengan pendekatan regresi linier, kami memeriksa pengaruh strategi-strategi tersebut pada perusahaan-perusahaan di Indonesia di sektor manufaktur terhadap kinerja operasional perusahaan. Sampel terdiri dari 65 perusahaan di sektor industri di kawasan Surabaya. Hasil menunjukkan kalau pemeliharaan preventif berpengaruh signifikan pada keberlanjutan operasional perusahaan. Hasil dari penelitian ini bermanfaat bagi perusahaan di bidang industri dalam meningkatkan keberlanjutan operasional perusahaan di masa gangguan substantif.
... Dukic & Oluic (2007) underlined that warehouse operators spent almost 90% of total time on order-picking activities, and 55% of all operating costs are attributed to order-picking. In recent years, several works on order picking in warehouse management systems have been developed for both traditional and ASRS warehouses (Anđelković & Radosavljević, 2018;Hofmann, 2018;Petersen & Aase, 2017). All these studies highlighted that the picking process is one of the most laborious and crucial factors for efficient warehouse management. ...
Article
When dealing with Automated Storage and Retrieval Systems (ASRS), the allocation of items to the most convenient storage location depends on the vast amount of data produced internally (e.g., Enterprise Resource Planning, Manufacturing Enterprise Systems) and externally (e.g. Supply Chain Management). Moreover, a proper item allocation in the warehouse has a strong influence on the warehouse saturation levels and picking times. In this perspective, the present work proposes the application of data-driven algorithms for managing items in an Automated Storage and Retrieval System (ASRS) in order to reduce the picking times and storage space. Specifically, a four-layer framework is adopted for collecting data produced by different information sources and analyzing them through a data-driven approach. The analytics layer is performed by combining the Association Rule Mining (ARM) technique, to investigate the network of influences among data collected, and a simulation approach for assessing the feasibility of the proposed implementation. The Association Rule Mining allows company managers to identify the components that should be located on the same tray in the ASRS, defining the couples of items frequently picked together in order to reduce the total picking time. The proposed approach is applied to the case study of a shoe manufacturing company to explain the research approach and show how the implementation of the data-driven methodology can provide valuable support in defining item allocation and picking rules. The proposed Association Rule Mining method is new in this context and it has shown a positive impact in comparison to traditional solutions of warehouse management, providing a complete overview of the items’ interactions and identifying communities of items that define local and global patterns and locate influential entities.
Article
Full-text available
Starting from the fact that clusters contribute to the competitiveness of industry sectors and the high standard of living in regions where clusters operate, the aim of this paper is to show the relationship between the stage of economic development and the state of cluster development at the level of national economies. Using the ANOVA statistical method the authors have accepted the hypothesis that the state of cluster development in national economies varies depending on the stage of economic development. In order to evaluate the state of cluster development in the country and the stage of economic development, the authors used the secondary data from the World Economic Forum (WEF), published in “The Global Competitiveness Report 2013–2014”. Although the stage of economic development is influenced by many economic and political factors, the authors assume that the stage of economic development predominantly depends on the decision and willingness of political and business leaders to lead the country to higher stages of economic development and sustainable economic growth. Their decision has an impact on cluster development in the country, and therefore influences the possibility of clusters to improve economic development and national competitiveness, especially in emerging markets and developing economies.
Article
Full-text available
The digital transformation puts to the test the sustainability of traditional business models. The aim of this research work is to formulate a framework that explains resources, capabilities and management choices necessary to respond to the new environment. The proposal based on literature review of both theoretical and empirical research. The framework abstracts complexity to isolate a few key variables. Its specification based on system dynamics since it naturally models forces of change in a complex system so that their influences can be better understood.
Article
Full-text available
In the past few years, the Smart Cities concept has become one of the main driving forces for the urban transition towards a low carbon environment, sustainable economy, and mobility. Tourism, as one of the fastest growing industries, is also an important generator of carbon emissions; therefore, the recently emerging sustainable tourism concept is envisioned as an important part of the Smart Cities paradigm. Within this context, the Internet-of-Things (IoT) concept is the key technological point for the development of smart urban environments through the use of aggregated data, integrated in a single decisional platform. This paper performs the first analysis on the feasibility of the use of an IoT approach and proposes a specific architecture for a sustainable tourism application. The architecture is tailored for the optimisation of the movement of cruise ship tourists in the city of Cagliari (Italy), by taking into consideration factors such as transport information and queue waiting times. A first set of simulations is performed using 67-point of interest, real transportation data, and an optimisation algorithm.
Article
Full-text available
Purpose: This paper provides managers from traditional industries with a blueprint to systematically analyze and discover digital business models and thus better cope with the digital transformation of their industrial businesses. Methodology: The proposed blueprint is built on state-of-the-art research on digital business model innovation and a rigorous taxonomy-building approach. The process is demonstrated through a simplified case study of a passenger transport company. Findings: The process involves three steps: (1) identifying existing products and services, (2) deconstructing business models, and (3) discovering new configurations. The managers from the case company very positively evaluated the efficiency and effectiveness of the proposed procedure. Value: The proven methodology relates the generic components of digital business models to a specific firm’s context, listing the solution space for each relevant dimension. The resulting framework aids in better understanding existing business models and serves as a tool for the systematic discovery of new models.
Article
Full-text available
This paper analyzes the contribution of information-communication technologies to economic growth of national economies and higher productivity and competitiveness of companies. Educated work force and organizational changes are necessary in order to realize all ICT potentials and benefits and, on the other side, to minimize risk of implementation. ICT effects are also connected with companies' readiness for innovation and experiments, as well as, with its size and industry. Print media industry is presented as a sample industry with ICT and Internet causing completely new business models and consumer participation in content creation. The last part of the paper is devoted to importance of ICT integration in Serbian economy in order to enhance national economic growth, rise employment and welfare, and improve productivity and competitiveness of national companies.
Chapter
The aim of this chapter is to investigate the impact of the implementation of digital sales channels on improving the bank's business performance (i.e., improving the market position of the bank). The authors look at different types of sales channels and their contribution to increasing the number of clients in the bank, and in particular, they focus on the advantages of the Viber Platform in reaching more clients. A survey on digitalization of the banking sector was conducted, that is, on the integration of digital communications and sales channels, that bringins with it new elements and possibilities for expanding the portfolio of bank services, and thus new opportunities for increasing profits. Based on the results of the survey, it was concluded that banks use digital communications to improve and make more effective and effictient communication with clients, while trying to bring them closer to the offer. With this approach, banks will achieve greater satisfaction and consequently a greater loyalty of their clients.