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Identification and Prioritization of Green Lean Supply Chain Management Factors Using Fuzzy DEMATEL

Md. Ismail Hossain, Md Al Amin (), Roberto Baldacci and Md. Habibur Rahman
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Md. Ismail Hossain: Department of Industrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh
Md Al Amin: Department of Industrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh
Roberto Baldacci: Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar
Md. Habibur Rahman: Department of Industrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh

Sustainability, 2023, vol. 15, issue 13, 1-20

Abstract: Green–lean supply chain management (GLSCM) refers to strategically adopting and coordinating environmentally sustainable practices and lean concepts in supply chain operations. A considerable set of factors needs to be identified to implement GLSCM successfully. This study examined the factors influencing green lean supply chain management implementation in the Readymade Garments Industries of Bangladesh through a literature review and discussions with field experts. The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) approach is employed to analyze these factors to implement GLSCM effectively. This research identifies capacity utilization, green purchasing, and demand variation as the most influential factors in GLSCM, while quality improvement and the Kanban system are considered the least important factors. This study explored categorizing factors into the cause-and-effect group, the degree of interaction, and the interrelationship of the factors under consideration. The findings of this study may help managers develop an effective GLSCM system, hence increasing an organization’s total profitability.

Keywords: supply chain; GSCM; LSCM; green lean; Fuzzy DEMATEL (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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