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Green manufacturing performance improvement under uncertainties: An interrelationship hierarchical model
... Additionally, this study uses the fuzzy Delphi method (FDM) to determine quality on the basis of qualitative data and linguistic preferences (Tseng et al., 2022). To establish the interrelationships between attributes, cause-and-effect relationships are modeled via fuzzy decision-making trial and evaluation laboratory (FDEMATEL) for analysis (Bui et al., 2024). As a result, the following objectives are pursued during this investigation: ...
... Cleaner and Responsible Consumption 16 (2025) 100251 the causal interrelationship between all of these variables. The FDM is employed to eradicate superfluous indicators and validate the proposed structure via the linguistic references of experts (Bui et al., 2024). By resolving perplexing and imprecise judgments made throughout the decision-making process and determining levels of importance, the FDM seeks to reduce unreliable attributes of qualitative data. ...
... The FDEMATEL approach is then employed to determine the subjective weights of the indicators, as it provides a more comprehensive explanation of the interrelationships between these attributes (Tseng et al., 2022). For example, Bui et al. (2024) implemented the FDM to identify the appropriate attributes among green manufacturing performance indicators by utilizing qualitative data and linguistic preferences. Tseng et al. (2022) devised and used a hybrid approach that combines the FDM and FDEMATEL to include both subjective and objective weights; this approach was employed to investigate the crucial characteristics of sustainable supply chain management in the context of the seafood industry. ...
... However, extensive industrial development has resulted in massive amounts of natural resource extraction, so the disposal of a substantial amount of waste is needed. This phenomenon of waste creation has increased in severity, and it significantly impacts both the environment and societal well-being (Kumar et al. 2022;Bui et al. 2024). In addressing these challenges, CSCMP can enhance operational performance and encourage cleaner production, thus ensuring that waste is reused or recovered from stakeholders in the supply chain (Farooque et al. 2022;Bals et al. 2024). ...
... The integration of eco-innovation that encompasses environmental and economic requirements, which may enable the achievement of effective and efficient circularity as well as sustainable operations for supply chain performance, remains unclear (Saroha, Garg, and Luthra 2021a;Ul-Durar et al. 2023;Dağıdır and Özkan 2024). Moreover, the absence of technological progress causes susceptibility, uncertainty, and constant inconsistency, which impacts firms' product chains and production efforts across various supply chains (Tseng et al. 2022;Adel et al. 2024;Bui et al. 2024). Hence, performance evaluations based on the BSC must include indispensable notions of eco-innovation and technological performance throughout supply chain activities to enhance external/internal operations and environmental performance (Del Giudice et al. 2020;Hristov et al. 2024). ...
... Content and bibliographic analyses must be performed to identify the criteria that can improve CSCMP from the BSC perspective, particularly by utilizing data drawn from publications contained in the Scopus database (Mahajan, Agrawal, and Raut 2023;Koning, Kassahun, and Tekinerdogan 2024). The EWM is used to convert the recorded occurrence data obtained via data-driven analysis into comparable weight scales Bui et al. 2024). Then, the FDM is used to validate the findings and remove unnecessary criteria pertaining to the enhancement of CSCMP Kurrahman et al. 2024;Moradpour et al. 2024). ...
This study develops and assesses the validity of a hierarchical structure for circular supply chain management performance (CSCMP) in the semiconductor industry. Previous studies have focused on synchronizing technological performance with eco‐innovation to enhance the circular operations, financial benefits, environmental advantages, and social benefits of CSCMP. This study employs a hybrid data–driven approach that combines qualitative and quantitative techniques to develop a hierarchical structure and determine the ranks of various attributes, thereby providing decision‐makers with valuable insights and practical guidance. Content and bibliographic analyses, the entropy‐weighted method, the fuzzy Delphi method, exploratory factor analysis, fuzzy decision‐making trials, evaluation laboratories, and fuzzy analytic network processes are incorporated in this data‐driven approach. The findings of this research suggest that stakeholders must collaborate to improve eco‐innovation and technological performance with the goal of enhancing CSCMP. Decision‐makers must prioritize stakeholder engagement, risk and responsibility sharing, and collaboration within the circular supply chain. Additionally, service innovations and network innovations can enhance the circularity model.
... • D'Angelo et al. [39] evaluated the impact of green production approaches on firm economic performance, which were divided into three categories: green activities, green investments, and product type. • Bui et al. [40] identified the traits required for improving green production performance in the textile industry and investigated the topic of performance improvement under uncertainty. ...
Environmental practices have been incorporated into business models and procedures in today's competitive climate, and they are now significant challenges that require attention. Businesses have undergone several changes as a result of these practices, including concerns about preserving a habitable environment for future generations and guaranteeing energy efficiency with sustainable production. To the extent that green manufacturing practices have been included into business strategies and used to inform future planning. In this context, green production practices have emerged as a crucial factor that requires careful attention from businesses. Nowadays, green production is a crucial tool for manufacturing businesses. The study investigated what motivates manufacturing companies to engage in green production practices. The goal was to weight the characteristics that were identified as driving businesses to engage in green manufacturing operations. To do this, the identified criteria were weighted using one of the multi-criteria decision analysis techniques, direct rating. The results of the application showed that "support from top management," "increasing demand for green products," and "increasing public pressure" were the main drivers of manufacturing companies' transition to green production practices.
... • D'Angelo et al. [39] evaluated the impact of green production approaches on firm economic performance, which were divided into three categories: green activities, green investments, and product type. • Bui et al. [40] identified the traits required for improving green production performance in the textile industry and investigated the topic of performance improvement under uncertainty. ...
Environmental practices have been incorporated into business models and procedures in today's competitive climate, and they are now significant challenges that require attention. Businesses have undergone several changes as a result of these practices, including concerns about preserving a habitable environment for future generations and guaranteeing energy efficiency with sustainable production. To the extent that green manufacturing practices have been included into business strategies and used to inform future planning. In this context, green production practices have emerged as a crucial factor that requires careful attention from businesses. Nowadays, green production is a crucial tool for manufacturing businesses. The study investigated what motivates manufacturing companies to engage in green production practices. The goal was to weight the characteristics that were identified as driving businesses to engage in green manufacturing operations. To do this, the identified criteria were weighted using one of the multi-criteria decision analysis techniques, direct rating. The results of the application showed that "support from top management," "increasing demand for green products," and "increasing public pressure" were the main drivers of manufacturing companies' transition to green production practices.
... The adoption of green growth practices, such as sustainable energy use, water recycling, and waste reduction, is essential to reduce the environmental footprint of the textile industry while enhancing its economic resilience (Bui et al., 2024). Globally, industries that integrate green practices have demonstrated improved operational efficiency and long-term cost savings. ...
The textile industry is a vital contributor to economic growth and job creation in Kenya; however, its significant environmental impact raises concerns about sustainability. Globally, the industry is a major polluter, consuming vast amounts of water, energy, and chemicals while generating substantial waste and greenhouse gas emissions. The inadequate adoption of green growth practices within the sector exacerbates environmental degradation, undermining global and national sustainability goals. This study sought to identify existing green growth practices in the textile industry, focusing on Thika Cloth Mill in Kiambu County and Rivatex in Uasin Gishu County. A descriptive cross-sectional study design was adopted to provide a snapshot of green growth practices at a specific time. The study targeted employees from the two companies, employing over 850 workers. Using purposive sampling, 90 respondents were selected, ensuring the inclusion of individuals with relevant knowledge of green growth initiatives. Data collection involved closed-ended questionnaires and observation checklists, with reliability ensured through pre-testing and the use of a four-point Likert scale to quantify responses. Data analysis was conducted using SPSS version 25, with descriptive statistics used to summarize findings. The study revealed that both Thika Cloth Mill and Rivatex have made commendable efforts in adopting green growth practices. Notable initiatives include clean energy use, sustainability training, capacity-building programs, awareness campaigns, the Reduce, Reuse, and Recycle (3Rs) approach, and the use of eco-friendly solar technologies and compact fluorescent lamps (CFLs). However, significant opportunities remain to enhance sustainability, particularly in water management, waste reduction, and the integration of renewable energy sources. The findings underscore the potential of Kenya’s textile industry to lead in green growth adoption, provided there is continued investment in employee training, innovative technologies, and sustainable production processes. Achieving a sustainable balance between economic growth and environmental conservation requires a steadfast commitment to strengthening and scaling up these initiatives.
... Auditing existing garment production is essential to understand the amount of textile waste created after manufacturing. Analyzing this data will help identify areas where innovative solutions can effectively address the current textile waste issue [29][30]. Implementing an effective waste recycling model in the garment industry, preventing textile waste through the sustainable design of textile products, implementing eco-design for products, and promoting their consumption based on the principles of a circular economy are all very relevant. ...
The textile and sewing industry is known to be the second most environmentally harmful industry for the environment. To maintain a circular economy, textile sources should be recycled, repaired, and used as much as possible while retaining their value. This research provides primary information about the database of post-production textile waste. The data suggests that 30 garment companies produce 778.11 tons of post-production textile waste per year, with cotton accounting for 42.14% and polyester for 32.45%. It is important to consider processing waste using different technologies according to the certification of textile waste to determine its raw material composition and purity. For an effective waste management policy, it is essential to implement it systematically, continually assess outcomes and challenges, and involve all stakeholders and activities that generate and manage waste. This is crucial in formulating an effective waste management policy.
... Liu et al. [8] detailed China's challenge in green manufacturing, highlighting the absence of clear green product evaluation standards regarding life cycle assessment methods, system boundaries, and stages. Bui et al. [9] investigated the influence of green intellectual capital (GIC) on blockchain technology and its integration with green manufacturing for sustainable development, revealing the crucial role of green manufacturing (GM) in enhancing business sustainability. Previous research mainly focused on how green manufacturing affects corporate performance, and few divided manufacturers' products into common products and green products to analyze their effect on the supply chain. ...
To describe the psychological behaviour of consumers in purchasing choices between common products and green products, this study explores how consumers’ anticipated regret influences the pricing decisions and coordinating contract in green manufacturing supply chain. Firstly, the centralized decision model and manufacturer leadership model are constructed. In addition, the impacts of regret sensitivity coefficient, regret probability, product greenness, and green preference coefficient are analyzed. Finally, the revenue-sharing contract is established to coordinate green manufacturing supply chain. The results are: (1) When regret sensitivity coefficient is higher, enterprises can implement penetration pricing strategy (Available at https://www.paddle.com/resources/penetration-pricing#what-is-penetration-pricing) combined with commitment marketing strategy. (2) When consumers’ green preference is higher, the probability of consumers’ anticipated regret becomes lower. (3) When sharing ratio is within a certain interval, revenue-sharing contract can achieve the optimal allocation of profits.
This research elucidates the pursuit of operational excellence in greenhouse gas emission, employing a multifaceted approach to analyze key performance indicators (KPIs), supply chain dynamics, electric vehicle, and technology integration. The investigation reveals a consistent improvement in production efficiency, with an average increase of 0.53%, reduced downtime by an average of 5 hours per month, and a marginal decrease in cycle time. Supply chain metrics exhibit commendable performance, with an average on-time delivery rate of 93.0%, order accuracy of 97.9%, and lead time of 5.5 days. Electric vehicle showcases a strategic investment with an average of 19 hours per month, leading to certifications such as Level 3 and Level 4 for advanced machine operations and programming CNC machines. The integration of advanced technologies demonstrates substantial efficiency improvements, with IoT sensors contributing to a 20% increase, automated robotics showcasing a remarkable 35% enhancement, and advanced data analytics and augmented reality (AR) each exhibiting 25% and 30% improvements, respectively. The findings collectively underscore the interconnected strategies driving operational excellence in greenhouse gas emission, providing valuable insights for organizational decision-making.
This research examines the synergistic benefits and impact of Thermoelectric Generators (TEGs) in energy harvesting, emphasizing their contribution to improving system efficiency via appropriate integration with energy management systems. The empirical findings indicate a significant 15% enhancement in energy conversion efficiency via enhanced waste heat recovery using TEGs, coupled with an 8% augmentation in total system performance attributable to sophisticated energy management strategies. Furthermore, there is a notable 10% decrease in energy losses, achieved by meticulous management of temperature gradients and regulation of power output. Total Energy Efficiency Metrics indicate a 12.5% enhancement in energy usage, a 2% decrease in system downtime attributable to the improved dependability of TEG units, and a 4°C reduction in average operating temperature, hence assuring increased lifespan of the devices. These findings underscore the practical advantages of integrating TEGs into waste heat recovery systems, enhancing the ongoing discussion on sustainable energy solutions by offering definitive proof of their effectiveness and the collaborative effect they exert on energy harvesting and system efficiency.
Purpose
Considering two types of subsidies for producers (supplier and manufacturer) and one for consumers based on product greenness and sales quantity, this study aims to formulate optimal supply chain green innovation and subsidy strategies, and to achieve this goal with the support of information systems.
Design/methodology/approach
This study introduces a composite green-product supply chain where suppliers focus on green innovation for component greenness and manufacturers focus on green innovation for manufacturing process greenness. Game theory modeling is applied to investigate the differences of product greenness, supply chain members’ profit and social welfare under different government subsidy strategies.
Findings
Increasing the unit greenness subsidy coefficient can boost product greenness and supply chain members’ profits, but does not always raise social welfare. When the government exclusively offers subsidies to producers, subsidies should be allocated to suppliers when there is a significant disparity in supply chain green innovation costs. Conversely, it is more beneficial to subsidize manufacturers. Consumer subsidies have the potential to enhance both environmental and economic performance in the supply chain compared with producer-exclusive subsidies, but may not always maximize social welfare when supply chain members have low unit costs associated with green innovation.
Originality/value
This study examines the optimal decisions for green supply chain innovation and government subsidy strategies. Supply chain members and the government can use the information system to collect and evaluate the cost of upstream and downstream green innovation, and then develop reasonable collaborative green innovation and subsidy strategies.
As global governments pay more attention to environmental issues, the idea of environmental protection has now been incorporated into the supply chain, and green supply chain management has become particularly significant. As such, this paper proposes a three-layer green supply chain model with a dual-channel structure consisting of a supplier, a manufacturer, and a retailer. The manufacturer sells the product through a (a) traditional retail-channel or (b) direct online-channel. The manufacturer sets a green product standard, while the government offers a subsidy to the manufacturer for green investment. We analyze the optimal decision under government subsidy and no government subsidy to maintain the profit maximization criteria of the supply chain. In addition, both the centralized and decentralized marketing strategies are evaluated using the Stackelberg game approach. To achieve the best pricing decisions for supply chain members, we compare the optimal pricing under consistent and inconsistent sales prices in both online and offline channels. The prime objective of the paper is to explore and compare the optimal pricing strategy with and without government subsidy pertaining to maximizing the overall profit of the supply chain. The numerical illustration and sensitivity analysis indicate that government subsidy can reduce the cost of green items and is beneficial to both manufacturer and supplier. Our research findings can lead to better decisions with and without government subsidy for members of the dual-channel green supply chain as well as enhance green product market competitiveness.
This study came with the aim of identifying the impact of the green supply chain on sustainability.
This research targeted managers at the senior and middle levels of the Pharmaceutical Industry in
Jordan, as they were formulating the company's strategies and determining its policies. A
purposive sample consisting of 258 managers was selected. To gather the data needed for the
analysis, a self-report questionnaire was used formulated electronically through Google Forms.
AMOS software was used to examine the research hypotheses. The study concluded that there was
an impact of the green supply chain with its dimensions (Eco-Design, Green Distribution, Green
Purchasing, Green Manufacturing, and Green Reverse Logistics) on sustainability. Based on this
result, the researcher recommends pharmaceutical companies in Jordan to take green initiatives
and the trends towards implementing a green supply chain approach that reduces the consumption
of non-renewable resources and waste, and to establish special laws and regulations in the
company that oblige employees to apply the green approach in their practices within the work.
The goal of the study was to determine the influence of green supply chain management strategies on performance in Jordanian industrial enterprises using just in time. All of Jordan's manufacturing enterprises were included in the analysis. A total of 218 companies were selected from the manufacturing industry. The study hypotheses were tested using Path Analysis. The results showed that green supply chain practices had a significant indirect effect on performance through JIT. Based on the study findings, the researchers recommend individuals and decision-makers to improve the expected results of green supply chain practices in the performance of economic and social business through just in time production and increasing the interest in logistics services as one of managing green supply chains practices in these companies. Growing Science Ltd. All rights reserved. 21 © 20
There is no doubt that environmental regulation policy will increase the production cost of manufacturing enterprises, then can this policy help improve the business performance in the long run? This study aims to explore whether the environmental regulation policy could increase the business performance of manufacturing enterprises (BPME). With the panel data of 467,649 manufacturing enterprises from China Industry Enterprise Database (2010–2013), we employ the comparative statistical analysis to examine the influence of China’s environmental regulation policy, in the form of Ten-Thousand Enterprises Energy Conservation and Low Carbon Program (TEP), on the BPME. The empirical results show that first, TEP and BPME are positively correlated, and enterprises with excellent initial performance are more likely to be concerned by TEP. Second, the impact of TEP on BPME is first restrained and then promoted, indicating that there is an inverted U-shaped relationship between the policy and the performance. Third, this promotion effect is mainly reflected through the innovation compensation mechanism and is easier to be seen in non-state-owned, western, and technological-intensive enterprises. This study further confirms the Porter hypothesis and provides the Chinese government with reference for adjusting environmental regulation policies as well as achieving sustainable development.
Although synergies of economic and environmental development are a central global concern, there has been limited empirical research on the effectiveness of green industrial policy at the enterprise level in developing countries. This article demonstrates the impact of China’s green industrial policy on green innovation based on evidence related to listed Chinese companies in heavily polluting industries against the backdrop of China’s Five-Year Plans context from 2011 to 2020. It finds that green industrial policy promotes green innovation among enterprises through the mediating roles of government subsidies and bank credit. Notably, this effect is more significant for enterprises that are state-owned and located in Eastern China. The findings offer guidance for developing countries on how to implement green industrial policy to stimulate green innovation.
Green supply chain management (GSCM) is an integrated environmental management tool for green transformation of the manufacturing industry and has remarkable potential to support China’s target of carbon neutrality by 2060. To understand the development path of GSCM and the subsequent impacts in China, the systematic literature review, analysis and comparison method is applied. The management institution involves eight governmental departments. The policy system includes 7 National Laws, 2 Regulations of the State Council, and 100 Documents of the State Council, Ministries, and Commissions. The review compares the relevant policies of China, the USA, the EU, and Japan, which reveals that management system of multi-departmental collaboration leads to the avoidance and transfer of responsibility. We also find that the existing relevant legal system need to be improved, especially in terms of tax subsidy, incentive mechanism, environmental information disclosure and the range of industries involved. Corresponding suggestions are put forward in response to these identified problems. The overall picture of GSCM in China could serve as a useful reference for other developing countries.
Following the oil industry, fashion manufacturing is the second largest polluting industry of the agricultural land leading to various unfavorable impacts on the environment. Sustainable fashion, also lightly known as eco-fashion, is a part of the rising design reality and trend. The aim is to build an approach that can bear the unlimited load of human impact on the environment and social obligation. Zero waste needs that human activity to only use nature’s assets at a rate that can be restored naturally. Hypothetically, the long-term result of environmental degradation is the incapability to withstand human life. Such dilapidation on a comprehensive scale could entail extinction for the human race. Fashion is a complex business involving long and diverse supply chains of production, textile manufacture, raw material, garment construction, transportation, retail, consumption, and eventually disposal of clothes. The carbon footprint of this industry is tremendous. Obvious pollutants like pesticides that meet the common eye are used in producing natural fabrics. The hazardous dyes are used largely in manufacturing textiles discarding huge amounts of waste.
This chapter offers flexible approaches and easy-to-create zero-waste methods to help develop and create new designs out of discarded fashion. The chapter will include beautifully created illustrations converted into wearable outfits out of waste garments. This exercise of design research rejuvenates the method of eradicating fabric waste by utilizing zero waste pattern cutting to increase conceivable results. This conceptualization of new inventions created by the zero-waste concept may lead to the making of future aesthetics in production and economies. The “wealth from waste” is a new approach in the fashion frontier, developing new innovative sustainable textiles made from agricultural waste, plant fibers, including cactus, mushrooms, coconut, pineapple, banana, Aloe vera, and many more. Further, the life-cycle assessment and involvement of the waste management of fashion and textile industries in contributing the circular economy has also been focused.
The growth in global production and consumption rates has resulted in increased pollution generation by industrial companies. To this end, cleaner production is one of the most widely used strategies to reduce the environmental impacts of industry and gain competitive advantage. However, it is still adopted slowly in many places. Therefore, the objective of this study is to propose a framework composed of governmental, scientific, and industrial strategies, policies, initiatives, and research opportunities for the development of cleaner production. The best practices of the top countries in the cleaner production technical-scientific scenario and the main implementation challenges and opportunities for its scientific development were identified and were the reference for the framework proposals. In the government sector, the framework suggests actions to encourage the adoption of cleaner production practices through national policies, legislation, tax incentives, and educational campaigns. In the scientific sector, it suggested the development of studies about the factors that motivate its adoption, studies about clean technologies, and studies about the cleaner production implementation difficulties. In the industrial sector, it highlighted the importance of the engagement of upper management to focus on efforts to increase the efficiency of manufacturing processes with the adoption of clean technologies, management systems, strengthening of the research and development areas, and replacement of hazardous raw materials. Thus, this study contributes with initiatives that will help the implementation of cleaner production practices, reducing the generation of pollution in industry, increasing the efficiency of its processes, and aligning countries and societies to sustainable development.
This study intends to distinguish the green productivity concepts, its strategy and the roadmap of its implementation throughout the adaption of green products, green production, and green innovation process dimensions. Further, it studies the impact of green productivity on environmental sustainability by identifying the mediating role of the management support to these green practices in the Jordanian factories. Methodology population of this study entails industry mining firms listed in the Amman Stock Exchange (ASE). A purposive sample was adapted in this study and consisted of specialized employees in terms of operating factories in general and in green production specifically. 100 questionnaires were precisely collected and analyzed via Smart Partial Least Square (PLS) statistics in order to analysis the mediation role. The study results point out a statistically significant impact of the independent variables, namely, the green productivity on environmental sustainability as a dependent variable in the existence of the mediating variable. Further, the results demonstrate the partial mediating effect of the dependent variable. However, there is no mediating effect of the independent to the mediator variable. Accordingly, the study recommends companies to concentrate on the roles played by the top management in the efforts towards green productivity adoption and strategic implementation in the Jordanian environment. The implementation of green productivity is considered at the early stages in Jordan. Thus, the value of the study lies in the search for issues that are eco-friendly practices.
Green Productivity is integrated for enhancing the profitability of the organization by improving productivity and environmental performance for overall socio-economic development. It considered the win-win situation of uplifting the quality of life in the form of generating profits to the business and considering the less impact to the environment from the business processes which leads to the greener business practices. The objective of this research paper is to review the existing literature about the practical application of the GP to identify the business areas which are influenced by the GP methodology. This is Qualitative research in nature. Nineteen existing research papers from reputed Journals are considered for the study. The content analysis method is used to analyze the research papers. The analysis results highlighted that GP methodology could be applied to any organization regardless of nature and size, and it will generate a significant contribution to the overall profitability of the organization by creating a competitive advantage in the market. GP will contribute to the organizations in two areas, (1) Productivity through reducing manufacturing cost, cycle time, risk, waste and increasing competitive advantages through social productivity, labour, and capital productivity of the business, (2) The environment in the form of reducing waste with many environmental concepts such as 3R, 5R Concepts and releasing less carbon emission to the environment. It is clear that this GP Methodology practice will enhance the development of socioeconomic and sustainability, which uplifts the living standard of all living beings in the natural environment.
The Belt and Road initiative (BRI) mainly relies on the traditional and underdeveloped logistical trade routes including the terrestrial and oceanic Silk Road. The poor logistic infrastructure across the BRI region not only restricts trade potential and economic progress but also creates several social and environmental challenges. Therefore, this study investigates the relationship between green logistic operations, economic, environmental, and social indicators of countries along with the BRI. This study provides three key findings using feasible generalized least squares (FGLS) and system generalized method of moments (Sys-GMM) estimation techniques. First, Chinese outward foreign direct investment significantly improves the quality and quantity of green logistic operations in terms of transport infrastructure, customs services, cost, time, tracking, and reliability of international shipments. Second, a higher quality of transport-related infrastructure, customs clearance efficiency, and competency of logistics services significantly mitigate the level of carbon emissions due to the energy conservation in the supply chain process. Moreover, the application of renewable energy resources significantly improves the quality of logistics operations. These results indicate that higher quality of green logistic operations provides efficient infrastructure and greater information sharing among supply chain partners that increase trade volume, growth opportunities, and environmental sustainability. Third, a higher institutional quality helps to mitigate social concerns through improvement in the efficiency of logistic operations. Although BRI regional estimates show significant variations, the overall results imply that BRI participating countries should integrate with ongoing investment projects to promote the quality and quantity of green logistic infrastructure and ensuring environmental stewardship.
Hazardous waste management is of paramount importance due to the potential threats posed to the environment and local residents. The design of a hazardous waste management system involves several important decisions, i.e., the determination of the locations and sizes of treatment, recycling and disposal facilities, and organizing the transportation of hazardous waste among different facilities. In this paper, we proposed a novel stochastic bi-objective mixed integer linear program (MILP) to support these decisions in order to reduce the population exposure to risk while simultaneously maintaining a high cost efficiency of the transportation and treatment of hazardous waste. Moreover, considering the inherent uncertainty within the planning horizon, the cost, demand and affected population are defined as stochastic parameters. A sample average approximation based goal programming (SAA-GP) approach is used to solve the mathematical model. The proposed model and solution method are validated through numerical experiments whose results show that uncertainty may not only affect the objective value but also lead to different strategic decisions in the network design of a hazardous waste management system. In this regard, the strategic decisions obtained by the stochastic model is more robust to the change of external environment. Finally, the model is applied in a real-world case study of healthcare waste management in Wuhan, China, in order to show its applicability.
At present, sustainable supply chain management (SSCM) has gained a great momentum in this competitive business world for any kind of industry. Leather industry (leather, leather products, and footwear) is the second export earning sector of Bangladesh which is scrambling to implement SSCM in its working cycle. There are lot of challenges that are creating barriers for this industry owners in establishing sustainability practices in their supply chain management. There is lack of enough research in identifying the challenges of SSCM for leather industry of Bangladesh. That’s why, it is very imperative to identify the challenges of SSCM for leather industry in Bangladesh which will guide the industry owners to combat these challenges. In this research, we have not only identified the challenges of SSCM for leather industry but also evaluated the relationship among them. Besides, a priority list of identified challenges is depicted through which the industry owners can easily find out the major and minor challenges. Five industrial experts were selected from export-oriented leather and footwear factories in order to sort out the appropriate challenges. Decision-making trial and evaluation laboratory (DEMATEL) technique was applied to assess the relationship among identified 18 challenges and divided them into two groups such as cause and effect. The casual challenges are lack of knowledge and experience, lack of technical expertise, corruption, social unawareness, lack of acceptance of new technology, lack of training on SSCM, poor organizational culture, market competition and uncertainty, lack of commitment from top management and lack of integration of IT system. On the other hand, lack of eco-literacy among supply chain stakeholders, financial constraints, lack of government rules and regulations, cost of sustainability, limitations of capacity, lack of management initiatives for reverse logistics, demand for lower price and lack of energy and waste management policy were identified as effect group challenges. This study will help the decision-makers of leather industry in formulating strategic policies to address these challenges for in implementing SSCM in leather industry that will drive these sectors toward sustainable development.
Purpose
The aim of this study is to explore the link between green manufacturing practices, operational competitiveness, firm reputation and sustainable performance dimensions as well as advance a mediation approach.
Design/methodology/approach
The study resorted to structured questionnaire to collect data from 158 manufacturing firms from different industries, and partial least square–structural equation modelling is used to test all hypothesized relationships.
Findings
The results indicate that green manufacturing has a positive significant impact on social, economic and environmental performance. However, firm reputation and operational competitiveness were found not to significantly influence economic performance. The mediation analysis also showed that operational competitiveness, firm reputation and environmental performance play no mediation role between green manufacturing and economic performance. Furthermore, social performance is found to mediate the relationship between green manufacturing and economic performance.
Research limitations/implications
The study did not consider any moderator variables. Also, the universal applicability and generalizability are somewhat a problem since data was mainly collected from Ghana, an emerging country.
Practical implications
The results provide managers with reasonable evidence to proactively implement and invest in green manufacturing practices because such practices will not only have a positive impact on their sustainable performance dimensions but further enhance operational competitiveness and provide firms with superior reputation.
Originality/value
The study provides significant findings that contribute to and expand the literature on green manufacturing, and it is among the relatively few studies that has investigated the link between green manufacturing, sustainable performance dimensions, firm reputation and operational competitiveness, especially from a mediation analysis perspective.
Purpose
The purpose of this research is to explore if control variables have any impact on corporate performance when implementing green supply chain management practices. The research in particular examines the impact of firm size, firm age and possession of environmental management system certification (EMS) as control variables on different dimensions of the corporate performance.
Design/methodology/approach
The research design consists of a comprehensive literature review, followed by an empirical questionnaire based survey with responses of 117 participant organisations proceeded by a comprehensive statistical analysis to validate the developed theoretical framework and contribute to both practical and methodological approach. This study investigates the impact of each of these three control variables on four dimensions of corporate performance using multiple regression analysis.
Findings
The research found that there is positive relationship between firm size and environmental performance, economic performance and social performance but not with operational performance. The study also found that certified environment management system within UAE firms is having a positive impact on all four performance dimensions while firm age does not have any relationship with any of the four performance outcomes.
Research limitations/implications
The research provides guidance for supply chain managers in the UAE and other similar emerging market in order to better understand the relationship between control variables impact and performance on corporate outcome. The paper also describes relevant strategies that should be taken into consideration by these managers in order to build their sustainable supply chain. The research contributes to social dimensions of supply chain sustainability on how resilient green strategies are important for supply chain stakeholders during uncertain conditions so that it can respond to uncertain changes in order to contribute to corporate social responsibility. Some of the limitations of this research include the geographic coverage of the study region and other methodological limitation.
Originality/value
This research is the first of its kind in the UAE region to assess the link between firm control variables and its impact on green supply chain management practices; which are less studied in the green supply chain literature. While there might be few other studies that addressed and uncovered the relationship between implementing green supply chain management practices and corporate performance, however, no study has attempted to find out if firm size, firm age and possession of EMS would have any impact on the green supply chain practices and corporate performance relationship. The research was conducted in an emerging economy to understand the relationship better. A series of recommendations are also provided for firms interested in improving their environmental performance while implementing green supply chain practices.
Keywords
Green supply chain management, Corporate performance, Quantitative research, Control Variables
Paper Type: Research paper
The use of cutting-edge techniques is beneficial for the research and development of biomaterials and the production of new sustainable biomaterials. Eco-friendly biomaterials should be promoted. As prospective substitutes for conventional materials, a variety of biomaterials have been conceived and produced to date and successfully used in various biomedical disciplines. The sustainability component in the additive manufacturing of biomaterials is the main goal of this article. There is discussion of various metallic biomaterials, including titanium, stainless steel, magnesium, cobalt-chromium alloy, zinc, tantalum etc. The effects of several additive manufacturing techniques on sustainability are examined. Also, the properties of additive manufactured biomaterials and sustainability aspect of biomaterials are discussed in detail. By reducing material waste and using time and energy efficiently, additive manufacturing can assist to lower costs and having less harmful effects on the environment. This article discussed sustainability aspects of different additive manufacturing techniques used for manufacturing of biomaterials.
It has been shown that conformal cooling in injection molding has the potential to replace conventional cooling due to its many advantages. The overall quality of the injection molding process is closely related to heat removal from the product and the mold, which is most uniform and efficient with conformal cooling. The disadvantages of conformal cooling are mainly in the manufacture of the mold, which is more expensive and time-consuming, which also affects the production of spare parts. To examine the current state of conformal cooling, an overview is given, organized according to the life cycle of the injection molding process. The main topics covered are process simulation, mold design and optimization, mold manufacturing, injection molding process control, and final quality evaluation based on product quality and financial benefits. Finally, the most promising solutions and their limitations are presented.Keywordsconformal coolinginjection moldingtool designtool manufacturingsimulationoptimization
The textile industry generates millions of tons of waste annually, making this sector one of the most polluting in the world. The objective of this research was to study the energy potential of three industrial textile wastes of vegetable and animal origin: CW (card waste), SFW (short fibre waste) and W (wool), using conventional and flash pyrolysis at 500ºC and 750ºC. CW and SFW thermogravimetric profiles were very different from W. In general, the bio-oil yield was higher in the conventional and in the low-temperature flash pyrolysis (up to 55%). The gas obtained by flash pyrolysis at 750 °C has higher flue gas content and lower CO2 content so their high heating value (HHV) is higher (up to 15.34 MJ/kg). Bio-oils obtained by flash pyrolysis at high temperature stood out for their higher HHV (>30 MJ/kg), with the highest value (34.15 MJ/kg) obtained from SFW waste. Both low temperature flash pyrolysis and conventional pyrolysis produce bio-oils that contain aromatic (35–48%) and non-aromatic (18–34%) organic compounds. Additionally, they have high levels of phenols and benzenes. High-temperature flash pyrolysis bio-oils are mainly composed of polycyclic aromatic hydrocarbons. The textile samples are suitable for an energetic valorization, highlighting the best SWF behavior.
As the reverse management of the textile industry, the recycling of waste textiles alleviates resource shortage and environmental pressure. The treatments mainly involve exports, second-hand transactions, resource recovery and energy recovery. The safety of the textile recycling industry is facing increasing criticism because of extensive sources and excessive reliance on manual operation. This has led to a desire to move towards harmless recycling of waste textiles, which will implement clean concepts and technologies to protect the health and safety of recyclers, operators and recipients. So far, commercial washing services can support sustainable use of waste textiles. In contrast, the cleaning for recycling as a resource has received little attention. Especially in frequent epidemics, a complete cleaning procedure for waste textiles holds great promise for the safety of the recycling environment. The comprehensive system of decontamination, disinfection and decolorization is defined as a broad sense of cleaning behavior. This paper reviews the application of various physical, chemical and biological technologies in the cleaning process, the influencing factors, technical difficulties and feasibility of each technology. Within the context of cleaner production, green decontamination has become a trend. Multi-disinfection can greatly improve the disinfection, reducing the overuse of disinfectants. Compared with bio-decolorization, ultrasonic technology, photocatalytic technology, electrochemical technology and ozone treatment, which are commonly used in decolorization of textile industry wastewater, show excellent feasibility in that of waste textiles. The review identifies gaps in the availability of combination mode, as without comprehensive data, further decisions cannot be made. The results presented in this paper must be viewed in a broader context of cleaner production: three-in-one is the most ideal production process. However, the results of this study will aid reasonable product framework for life cycle planning making by textile designers and recycling executors, as well as being of use to researchers.
The increasing stakeholder’s demands towards lean and green products are driving the organizations to redesign their operational strategies. Textile Industry being one of the fundamental industries in our daily lives is becoming a major environmental issue as it is the major factor for environment deterioration. In order to minimise the various environment issues like water pollution due to discharge of chemicals in processing the raw materials and to manufacture the finished products with minimal wastage of resources, Lean in Green manufacturing is a major concern. The present study aims at understanding the motivational factors which can direct in achievement of Green in Lean manufacturing in Indian Textile industry, so as the manufacturing has the least impact on the environment. The aim of the present chapter is to understand the relationship between the motivational factors in achieving economic, social and environmental aspect. The focus is to identify the motivational factors which can help in attainment of Green in Lean manufacturing. Grey Decision trial and evaluation laboratory (DEMATEL) methodology in employed for understanding the contextual relationship between motivation factors. The present study is being validated using the case of Indian Textile sector.
The manufacturing sector is now facing the challenge of complying with strict environmental regulations due to global warming, lack of natural resources, and waste management issues. Increased environmental problems and awareness lead to the implementation of green production practices by manufacturers worldwide. Green manufacturing (GM) activities form the basis of green and environmentally friendly goods production. There are, however, several possible indicators for GM implementation. There has been some good research on GM indicators, but little research in the Indian automotive industry has to date been undertaken on GM. In this analysis, the Fuzzy Analytical Hierarchy (F-AHP) method is incorporated into the Elimination Et Choix Traduisant La Realite (ELECTRE-I) procedure to define and rank the six main indicators as well as rank the case company’s three plants for GM implementation. The proposed framework is accredited by a leading factory manufacturer of steering systems in India. This study shows that Efficiency of Environmental Management System and Hazardous Waste Management are the leading indicators for GM, and plant P1 is the best alternative for the six indicators among the three plants. Our research will support the priority setting of key indicators influencing green manufacturing practices in the automotive industry.
In order to face the different pressures associated with the environmental damage generated by production processes, the Green Supply Chain Management (GSCM) approach is an alternative for manufacturing companies, as it allows them to have more sustainable operations, especially, in relation to other players, through environmental collaboration. The aim of the present article is to identify which practices facilitate environmental collaboration, as well as to establish the influence of said collaboration on sustainable production practices. A survey with 43 items, drawn from the literature, was applied to a convenience sample of Colombian manufacturing companies. The hypotheses, relating to environmentally sustainable practices and environmental collaboration data, were tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). The main results show that internal environmental management, eco-design, and green marketing have direct and positive effect on environmental collaboration. However, no relationship was found between green human resources, green information and systems technology, and reverse logistics and environmental collaboration. In addition, the positive effect of environmental collaboration on sustainable production practices, such as green purchasing, green manufacturing, and green distribution, was reflected. The paper expands knowledge of the way in which environmentally practices are related to environmental collaboration and their implications for more sustainable production and consumption.
This study contributes to building a valid hierarchical sustainable solid waste management (SSWM) attribute set with qualitative information, which is a complicated and ambiguous problem with uncertainties. Few studies have provided qualitative information and have addressed the interrelationships and interdependencies among the hierarchical SSWM attributes. SSWM has recently become a difficult problem to solve due to urbanization, inequality, and economic growth. This study aims to propose an SSWM attribute set and identify a causal model through linguistic preferences by using a fuzzy decision-making trial and evaluation laboratory approach to simultaneously handle the uncertainty and the interrelationships. The analytic network process is used to develop the hierarchical structure to weigh the aspects and criteria. Qualitative information is transformed into crisp and comparable values to examine the causal relationships between attributes and confirm the consistency between the theoretical structure and industry phenomena. The results indicate that policy and regulations, stakeholder participation, and social impacts play essential roles in these causal interrelationships. Political leadership in SSWM is required to drive stakeholder participation and achieve social impacts. Population growth and migration, institutional settings, waste recycling and energy recovery, households, and private contractors are the main aspects involved in improving SSWM in Vietnam.
Purpose
The purpose of this study is to identify a comprehensive list of main enablers of successful implementation of green manufacturing (GM) practices in small and medium-sized enterprises (SMEs). Based on the inputs from Irish SMEs' experts, a validated conceptual hierarchy model of the identified enablers is developed to analyse and prioritise the most dominant ones.
Design/methodology/approach
Data were collected using a questionnaire survey responded by various professionals in Irish manufacturing SMEs. Experts' opinions were analysed using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to distinguish the mutual influences amongst the nine identified enablers.
Findings
The findings revealed that from the Irish SMEs' perspective, strong green supply chain relations are the outcome of successfully implementing GM and not a driver of the other enablers. Furthermore, lower manufacturing costs are found to arise as a result of GM practices in SMEs.
Practical implications
It is discussed that emulating the actions of larger companies will not necessarily yield the same results for SMEs. Innovation will become a cornerstone of remaining competitive in a sustainable environment, which is facilitated by closer green supply chain relations.
Originality/value
The reported findings in this article contribute to theory and practice of GM and SMEs research domains by systematically identified, classified and ranked enablers in a conceptual hierarchal model from the perspective of Irish SMEs. This research lays the foundations for further analysis of the GM practices enablers in a time when UN mandates and EU regulations are increasingly impacting SMEs all around Europe and especially Ireland.
Lean Manufacturing tool promises product quality and assures the effective way of product production and processing. This research provides continuous involvement of lean manufacturing in all stages of the production process in identifying and eliminating waste. Electrical components manufacturing involves hazardous chemical powder molding at high pressure to produce electrical switches and switchboards. This Manufacturing process involves risk for employees and the environment. Green manufacturing is the process of manufacturing and developing eco-friendly products that do not harm customers, employees and using it. Green manufacturing emphasis on environmental pollution such as wastewater management and supply, environmental protection, pollution control, regulatory compliance, recycling of wastes and other issues associated with it. Research explains the effect of green manufacturing in the electrical component manufacturing industry after the implementation of lean tools. The Relationship between lean waste and the effect of such wastes on green practices is detailed in this study. This clearly shows that, if lean wastes are reduced during manufacturing, effects on the green environment can be reduced and thus green manufacturing is attained.
Green manufacturing is an advanced manufacturing approach, which comprehensively considers environmental impact and resource efficiency and is considered as the future direction of modern manufacturing industry. However, the current situation, technologies, and development strategies of China's green furniture manufacturing have not been comprehensively analyzed and a complete furniture industry green manufacturing technology system is lacking. Here, to fill such knowledge gap, through an extensive review of literatures on manufacturing process and implications of green furniture, which consists of data identification, initial screening, eligibility determination, and final inclusion, this study (1) analyzed the current situation and existing challenges of green furniture manufacturing in China, (2) proposed and discussed a systemic green manufacturing concept for China's furniture based on the current situation, and (3) suggested strategies corresponding to the challenges. The results show that although China has determined that the implementation of green manufacturing is the only sensible way for the development of its furniture industry, many aspects of it, such as public awareness, manufacturing technology, and legal regulations are lacking. The proposed comprehensive green manufacturing concept regarding green manufacturing includes green design, green materials selection, green processes, green packaging, green recycling, etc. The proposed strategies include developing a green manufacturing strategy for furniture enterprises, strengthening the development of green furniture products, improving the production mode of green furniture, and promoting the coordinated development of green production in furniture industry. This study will play a guiding role in promoting the implementation of green manufacturing and achieving a sustainable development of the Chinese furniture industry. Additionally, it also provides a reference for the world furniture enterprises.
Solid waste management leads to resource loss and limited waste management approaches. Nevertheless, solid waste management must be studied in terms of sustainability by both academicians and practitioners. There are barriers to understanding and challenges to maintaining sustainable solid waste management practices. Hence, this study collects a set of attributes, including seven aspects and 146 barriers, from the existing literature. The barriers are the cause of poor sustainable solid waste management performance in practice due to limited resources. Hence, this study aims to identify the major barriers presented as qualitative information; however, the attributes need to be transformed into a comparable scale. This study applied the fuzzy Delphi method to acquire valid and reliable attributes through qualitative information. The results show 44 essential barriers to sustainable solid waste management. Four aspects are included: (1) technical difficulties; (2) information sharing and knowledge problems; (3) human resource limitations; and (4) financial and economic problems. The most important barriers are identified as household hazardous waste, insufficient funds for SWM research, local architecture, a lack of staff capability, and a lack of a standard process for data collection and analysis. The theoretical and managerial implications are discussed.
With the advent of Big Data Analytics (BDA) alongside the maturity of specific improvement approaches such as Lean Six Sigma (LSS) and Green Manufacturing (GM), the integration of these initiatives to achieve higher environmental performance (EP) is gathering the interest of both researchers and practitioners. The present study builds on the dynamic capabilities view to propose and empirically test a model exploring whether LSS and GM mediate the relationship between BDA capabilities and EP. A two-stage hybrid Factorial Analysis - Structural Equation Modelling is used to draw insights from 201 industry practitioners from North African companies. The findings confirm the direct influence of BDA on EP and also identify LSS and GM as significant mediating variables that act as a catalyst to boost indirect impacts of BDA on EP. This study can help researchers and practitioners to fully understand and benefit from BDA capabilities and improvement initiatives such as LSS and GM while managing environmental issues. The study discusses theoretical and managerial implications for enhancing the environmental performance of the manufacturing organizations.
Keywords
Environmental Performance, Big Data Analytics, Lean Six Sigma, Green Manufacturing, Structural equation modeling
The implementation of an environmental management system (EMS) is part of a proactive environmental strategy whose goal is to create organisational capabilities leading to differentiation, better reputation, customer loyalty, and innovation. An EMS is a systematic process adopted by the organisation to apply its environmental policies, objectives and goals, as well as to provide a verification path for external auditors. It includes detailed documentation for a series of activities, responsibilities, procedures, processes, and internal resources. There are several reasons for the adoption of an EMS: the reduction of environmental impacts, better process efficiency, the boosting of employees’ motivation, and improved legal compliance. The assimilation of an EMS is a process of organisational change, and each firm may choose its specific goals in response to a wide range of internal and external factors. Environmental management systems create capabilities that strengthen the green orientation of the firm. For this purpose, environmental training is a critical tool that allows employees to adopt new perspectives, skills, and attitudes. Thereby, the implementation of an EMS demands the set-up of a management accounting system to be used by decision-makers in their assessment of corporate environmental performance. Management accounting data and procedures are relevant for multiple goals and processes such as the assessment of environmental costs or expenditure, full-cost accounting, fair product pricing, compliance with regulatory demands, and budgeting for liabilities and risks. Environmental innovation is the reformulation and improvement of products, services, production processes, and business methods. Innovative solutions are the crucial factor for achieving material and energy savings, pollution control and prevention, waste management, recycling, eco-design, and lower environmental risk. The overarching objective is to gain and preserve corporate legitimacy. Companies have a legal right to function, but they must earn their moral right to be part of society. Positive effects can extend to gaining competitive advantage, addressing supply chain concerns, improving corporate image, promoting better customer relations, addressing stakeholder pressures, and receiving subsidies or tax benefits from regulatory agencies. The major players in environmentally sensitive industries seek to strengthen their legitimacy by adopting innovative solutions to complex problems. Corporate disclosures about the company’s outputs, methods, and environmental policies are the primary device to maintain company legitimacy.
As one of the most important fields for fulfilling the sustainable development of human beings, green manufacturing has been attracting the attention of academia since the 1990s with the evolution of several synonym concepts. After nearly 30 years’ development, a general cartography of existing research is now needed to reflect the major ideas and questions involved. This is carried out here by a bibliometric analysis. Following a basic review of the evolutionary progress of “green manufacturing” and similar concepts, we collect articles concerning green manufacturing, environmentally conscious/responsible manufacturing, benign manufacturing, and sustainable manufacturing. The data sources are limited to SCI and SSCI journals. Then we extract high frequency keywords from the articles and calculate their co-occurrence. A hierarchical clustering is conducted based on the co-word matrix, and six clusters are identified and visually presented by a strategic diagram and bi-dimensional multi-dimensional scaling diagrams. The six clusters cover the research subjects of green chemical materials, green manufacturing principles and approaches, common analytical tools, green manufacturing implementation of industrial firms, green supply chain, industrial ecology, GHG emissions, and green machining tools and processes. We build a framework to embed the green manufacturing system into the economic-social-eco system and divide green manufacturing research into three levels: application, organization, and system. Based on this framework, we combine the existing research architecture and research boundaries in the field and propose possible future research directions.
Incorporating corporate social responsibility (CSR) initiatives in an organization is identified as a strategic tool for achieving sustainable performance. The objective of this research was to examine the conceptual framework that relates adoption of CSR initiatives, green practices both product and process related practices and the effect of these practices on performance and employees' pro-environmental behavior (PEB) at work. After a review of the literature, seven hypotheses have been proposed and tested with green practices as a mediating variable. Adoption of green practices was found to partially mediate the relationship between CSR and performance while the mediating relationship of green practices between CSR and employees’ PEB at work was found to be insignificant. This research extends to the body of extant literature by establishing the results of the conceptual framework and in addressing the implications for India. The results also highlight how organizations can include CSR initiatives and green practices synergistically to enhance performance and PEB at the workplace for corporate sustainability. Further study is required to explore how the constructs are related at two different time periods and across the dimensions.
A sustainable product-service system has environmental, social and economic benefits. However, prior studies of sustainable product-service systems neglected to address the interrelationships among various aspects and criteria and did not present improvement criteria. In addition, a sustainable product-service system has an interdependent and interrelated hierarchical structure and includes measures of qualitative information. The Ecuadorian construction industry faces challenges in decreasing waste generation, improving efficiency, reducing environmental impacts, and increasing social responsibility. Hence, this study proposes a set of attributes to create a theoretical model and practical measures to assess the Ecuadorian construction industry by applying fuzzy decision-making trials with laboratory and analytical network processes to analyze the causal interrelationships among the proposed attributes in a hierarchical structure. The results provide insight into sustainable production and indicate that collaborative advantages are the most common causes of a sustainable product-service system, and employee participation, self-actualization, stakeholder relationships and empathy are the main criteria. The theoretical and industrial implications are discussed.
Conceptually Cleaner Production seeks to integrate the continuous utilization of deterrent environmental approaches to processes, products and services aiming to rise efficiency and to minimize the risks to people and environment. Extant literature has shown that the implementation of Cleaner Production practices brings as a result economic and environmental gains. Nevertheless, very few studies link those savings to the Sustainable Development Goals, reason why this research aims to evaluate if the economic and environmental advantages coming from Cleaner Production adoption in the textile industry contributed to the Sustainable Development Goals. This was done through extensive review of the literature, complemented by the proposal of a theoretical framework confirmed through the development of two case studies. As a result, it was concluded that the adoption of Cleaner Production practices in Brazilian textile industries through technological innovation made it possible to highlight the economic and environmental gains relating those to Sustainable Development Goals 9, 12 and 15.
The energy-saving and emission reduction (ESER) strategy is a crucial measure for promoting the sustainability of manufacturing industry in green transition. Analyzing current practices and limitations of the ESER in the manufacturing industry, this paper proposes a new concept entitled lean energy-saving and emission-reduction (LESER) and an approach to effectively improve the energy efficiency and reduce waste emissions. This paper illustrates the definition of the LESER and establishes an implementation framework for LESER to improve the manufacturing process. To quantify and evaluate performance of LESER, the state space model of the carbon footprint for energy consumption and waste discharge is established. A method for implementing the LESER strategy is constructed in the following steps: (i) clarification of the current situation; (ii) analysis of the root cause; (iii) improvement; (iv) evaluation of the carbon emissions; (v) sustaining and standardizing. Finally, the LESER strategy is applied to the Zcrubber Group Co. Ltd., which is characterized with high pollution, high energy consumption, and high emission in green transition. Results demonstrate practicability of the proposed strategy to offer an effective measure for promoting sustainability of manufacturing industry.
In green economy, the concepts like sustainable design, green products, clean technologies, eco-friendly processes have pushed the organizations to opt for change management initiatives, to accomplish sustainable development. Organizational sustainability has been defined using a triple bottom concept that addresses environmental issues, economic aspects, and social concerns. In this sense, it becomes imperative for organizations to evaluate the role of human, operational and technological aspects for setting sustainable business practices in a supply chain context. Sustainable operational practices will deliver the products to the society having zero defects and zero effect to the environment. Therefore, the present study targets to extend the change management initiatives to operations and supply management practices in the leading home appliances companies in India. The study identifies the key factors to sustainable operations management based on human-operational-technological aspects underpinned by literature and expert's agreement. The study proposes to use a fuzzy based Analytic Hierarchy Process and Decision Making Trial and Evaluation Laboratory techniques to prioritize the factors as well as evaluate the cause and effect relationships among factors. This study can facilitate managers to employ change management initiatives in adopting sustainability oriented human-operational-technological management practices and delivering the sustainable development goals of responsible consumption and production and affordable and clean energy in industrial supply chains. Finally, the recommendations to managers and directions for further research have been highlighted.
In response to the ever-increasing consumer awareness on carbon emissions and government policies, firms consider adopting innovation-led lean approaches to achieve sustainability in the manufacturing supply chain. The behavior of the key drivers of innovation-led lean approaches to achieve sustainability can vary over time and these variations have the potential to significantly affect sustainable outcomes in the manufacturing supply chain. Currently, the study of the dynamic behavior of the key drivers of innovation-led lean approaches and their influence on sustainable performance over a long time in the manufacturing supply chain is still unexplored. Therefore, this study employed fuzzy logic and Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS) to prioritize the key drivers of innovation-led lean approaches to achieve sustainability in the manufacturing supply chain based on the evaluations of experts in the Chinese electronics sector. Then, a system dynamics model was developed in this study to investigate the dynamics of the key drivers of innovation-led lean approaches and their influence on sustainable performance over a long time in the manufacturing supply chain. According to the study outcomes, the dynamic behavior of ‘Government regulations’ and ‘Conducive working conditions’ influences sustainable performance exponentially over a long time in the manufacturing supply chain. Our study also reported the dynamics of ‘Cash availability’ and ‘Fundamental knowledge’ and indicate that they are not highly influential on sustainable performance over a long time. This study will insure the key drivers maintain their status to achieve sustainable performance over a long time during implementing innovation-led lean approaches in the manufacturing supply chain.
A constant evolution in the efficiency of production systems and government policies has enabled the control of the environmental impact of production activities and encouraged companies to develop strategies to achieve more sustainable operations. Despite this, more needs to be done to reduce the risks of globalised production activities. In this context, evidence suggests that Lean Manufacturing (LM) and Cleaner Production (CP) make a positive contribution to the environmental performance of organisations. However, very little has been reported in the scholarly literature regarding the convergence and divergence of these two approaches. This work therefore attempts to take advantage of the synergies of LM and CP by proposing a Lean Cleaner Production Benchmarking (LCPB) method to assess the practices and culture regarding the application of CP in companies. The method considers the management aspects of people, information, products, suppliers and customers, management and processes, as well as the LM practices that contribute to a more eco-efficient production. LCPB uses a methodology based on benchmarking that was applied to 16 Brazilian manufacturing companies in order to assess their practices and performances regarding CP. The method seeks to provide a diagnosis to verify whether CP is effectively carried out by the companies, and what their performances are regarding actions beneficial to the environment. The application of LM practices that contribute to CP was also evaluated through the proposed LCPB method. The paper contributes to the theory by proving further evidence of the compatibility and synergies of LM and CP. In addition, it proposes a novel method that enables the analysis of companies' practices and performances related to CP, assesses their actions associated with sustainability, and contributes to identifying points where there is a lack and difficulty regarding CP. The proposed method helps to relate LM and CP activities, indicating that companies that seek to apply LM concepts are those that present high CP practices and performance.
The traditional Delphi method is one of the effective methods which enables forecasting by converging a possibility value through the feedback mechanism of the results of questionnaires, based on experts' judgments. Some points needing revision are: (1) By pinpointing the intuition of the first response on the part of experts, feasible inference values need to be extracted so that the quality-oriented and semantic structure of the responses may be analyzed. (2) By removing the effect caused by feedback in the Delphi method, natural and non-converged results need to be acquired; Moreover, two and more repetitive surveys are likely to cause a decline in the response rate, which may produce negative effects in the ensuing analyses. (3) In general, as it is repeated, the survey becomes more costly and time-consuming. In order to resolve these issues, we have identified two kinds of membership functions in regard to ‘the attainable period with a high degree’ and ‘the unattainable period with a high degree’. Next, through the implementation of the Max-Min Fuzzy Delphi Method and the New Delphi Method via Fuzzy Integration, we have developed algorithms which enable forecasting attainable periods. Third, we have applied such algorithms to two concrete questions, compared the result with one obtained from the Delphi method, and ascertained the feasible outcome. While more examination needs to be undertaken, the new methods look valid and applicable to further analyses of other questions and items on questionnaires. While both methods can forecast attainable periods, using these methods simultaneously as well as the traditional Delphi method, may prove a really effective result.
Sustainable supply chain management using approximate fuzzy DEMATEL method
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