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

Author

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  • Md. Ismail Hossain

    (Department of Industrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh
    These authors contributed equally to this work.)

  • Md Al Amin

    (Department of Industrial Engineering and Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh
    Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar
    These authors contributed equally to this work.)

  • 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
    Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Doha P.O. Box 5825, Qatar)

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.

Suggested Citation

  • Md. Ismail Hossain & Md Al Amin & Roberto Baldacci & Md. Habibur Rahman, 2023. "Identification and Prioritization of Green Lean Supply Chain Management Factors Using Fuzzy DEMATEL," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10523-:d:1186506
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    References listed on IDEAS

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    1. Marcela Marçal Alves Pinto & João Luiz Kovaleski & Rui Tadashi Yoshino & Regina Negri Pagani, 2019. "Knowledge and Technology Transfer Influencing the Process of Innovation in Green Supply Chain Management: A Multicriteria Model Based on the DEMATEL Method," Sustainability, MDPI, vol. 11(12), pages 1-33, June.
    2. Zhu, Qinghua & Sarkis, Joseph & Cordeiro, James J. & Lai, Kee-Hung, 2008. "Firm-level correlates of emergent green supply chain management practices in the Chinese context," Omega, Elsevier, vol. 36(4), pages 577-591, August.
    3. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Green supply chain management implications for "closing the loop"," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 1-18, January.
    4. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    5. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    6. Sukran Seker & Edmundas Kazimieras Zavadskas, 2017. "Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites," Sustainability, MDPI, vol. 9(11), pages 1-19, November.
    7. R. Anthony Inman & Kenneth W. Green, 2018. "Lean and green combine to impact environmental and operational performance," International Journal of Production Research, Taylor & Francis Journals, vol. 56(14), pages 4802-4818, July.
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    Cited by:

    1. Md Al Amin & Dewan Hafiz Nabil & Roberto Baldacci & Md. Habibur Rahman, 2023. "Exploring Blockchain Implementation Challenges for Sustainable Supply Chains: An Integrated Fuzzy TOPSIS–ISM Approach," Sustainability, MDPI, vol. 15(18), pages 1-25, September.
    2. Anna Stronczek, 2023. "Barriers of Lean Accounting Implementation in Polish Enterprises: DEMATEL Approach," Sustainability, MDPI, vol. 15(15), pages 1-19, August.

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