A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy
The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co. Ltd.
2024-01-01
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| Series: | Sustainable Operations and Computers |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S266641272300017X |
| _version_ | 1797350572366495744 |
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| author | Mohammad Rafiqur Rashid Sourav Kumar Ghosh Md. Fahim Bin Alam Mohammad Faizur Rahman |
| author_facet | Mohammad Rafiqur Rashid Sourav Kumar Ghosh Md. Fahim Bin Alam Mohammad Faizur Rahman |
| author_sort | Mohammad Rafiqur Rashid |
| collection | DOAJ |
| description | The textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability. |
| first_indexed | 2024-03-08T12:47:53Z |
| format | Article |
| id | doaj.art-f02f4ca4287a4017b97ac943f42a8599 |
| institution | Directory Open Access Journal |
| issn | 2666-4127 |
| language | English |
| last_indexed | 2024-03-08T12:47:53Z |
| publishDate | 2024-01-01 |
| publisher | KeAi Communications Co. Ltd. |
| record_format | Article |
| series | Sustainable Operations and Computers |
| spelling | doaj.art-f02f4ca4287a4017b97ac943f42a85992024-01-21T05:10:54ZengKeAi Communications Co. Ltd.Sustainable Operations and Computers2666-41272024-01-0152940A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economyMohammad Rafiqur Rashid0Sourav Kumar Ghosh1Md. Fahim Bin Alam2Mohammad Faizur Rahman3Department of Industrial and Production Engineering, Bangladesh University of Textiles, Dhaka 1208, BangladeshDepartment of Industrial and Production Engineering, Bangladesh University of Textiles, Dhaka 1208, BangladeshTextile Engineering Department, Primeasia University, Dhaka 1213, BangladeshDepartment of Textile Engineering, Ahsanullah University of Science and Technology, Dhaka 1208, BangladeshThe textile industry supply chains (SC) face numerous risks and disruptions due to the changing dynamics of high demand and limited resources. The impact of epidemics and regional conflicts further complicates global business operations, especially in emerging economies. In this context, the textile sector in these economies must prioritize Sustainable Supply Chain Management (SSCM) to achieve cost reduction, enhance productivity, and improve profitability to sustain their business. Although research has examined several SSCM viewpoints, the barriers that prevent emerging economies from adopting SSCM in the textile sector to meet the Sustainable Development Goals (SDGs) are not sufficiently highlighted in the empirical literature that has already been published. This study analyzes different barriers and investigates how they are interconnected. From the literature research, 17 main barriers were first identified in the process. The barriers were then prioritized in order of significance using a combination of fuzzy theory, Pareto analysis, and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework. Finally, the cause-and-effect relationships among these barriers were established. A lack of commitment from the supplier's top management, insufficient financial incentives, and the absence of supportive government standards and regulations were identified as the three topmost significant barriers to SSCM adoption. For the textile sector, governments, and policymakers in emerging economies, the study's results are helpful since they will assist them create mitigation strategies to get rid of these barriers and achieve long-term sustainability.http://www.sciencedirect.com/science/article/pii/S266641272300017XMulti-criteria decision makingSustainable supply chain managementFuzzy theorySustainability barriersPareto analysisDecision-making trial and evaluation laboratory (DEMATEL) |
| spellingShingle | Mohammad Rafiqur Rashid Sourav Kumar Ghosh Md. Fahim Bin Alam Mohammad Faizur Rahman A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy Sustainable Operations and Computers Multi-criteria decision making Sustainable supply chain management Fuzzy theory Sustainability barriers Pareto analysis Decision-making trial and evaluation laboratory (DEMATEL) |
| title | A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy |
| title_full | A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy |
| title_fullStr | A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy |
| title_full_unstemmed | A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy |
| title_short | A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy |
| title_sort | fuzzy multi criteria model with pareto analysis for prioritizing sustainable supply chain barriers in the textile industry evidence from an emerging economy |
| topic | Multi-criteria decision making Sustainable supply chain management Fuzzy theory Sustainability barriers Pareto analysis Decision-making trial and evaluation laboratory (DEMATEL) |
| url | http://www.sciencedirect.com/science/article/pii/S266641272300017X |
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