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Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach

Author

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  • Manel Elmsalmi

    (OLID Research Unit, Higher Institute of Industrial Management Sfax, University of Sfax, Technopolis of Sfax 3021, Tunisia)

  • Wafik Hachicha

    (Department of Industrial Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Awad M. Aljuaid

    (Department of Industrial Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

Abstract

Companies attempt to improve the performance of their supply chain (SC) by distinguishing and presenting feasible sustainable development practices (SDP). Considering SDP without focusing on sustainability risks may disturb the company’s future. Very few studies in the extant literature have dealt with the impact of (SDP) on the supply chain risk management (SCRM). In fact, the aim of this paper is to classify and prioritize SDPs according to their priority for better risk management and effective SC performance. The proposed approach comprises two phases. First, 14 SDPs are identified and selected from the literature. Second, MICMAC (Matrice d’impacts croisés multiplication appliquée à un classement) method as a structural analysis method applies to identify and assess sustainable supply chain risk management (SSCRM) practices which reduce risk in the SC. The input data for each phase are based on Delphi technique, which is a process group used to collect the opinions of experts in the field. The aim of the proposed approach is to prioritize SSCRM practices and classify them into influential, non-influential, independent and dependent practices and their mutual relationships. The six key findings SSCRM practices from direct and indirect classification include the following elements: (1) Delayed differentiation, (2) Information sharing with upstream and/or downstream partners, (3) Simplification of product dismantling/anticipation of product end of life, (4) Supplier/subcontractor’s performance assessment, (5) establishing shared supply management and (6) establishment of contracts with transporters.

Suggested Citation

  • Manel Elmsalmi & Wafik Hachicha & Awad M. Aljuaid, 2021. "Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4608-:d:540173
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    References listed on IDEAS

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    2. Freddy Marín-González & Judith Pérez-González & Alexa Senior-Naveda & Mercy Narváez-Castro & Sharmila Rani Moganadas & Eduardo Garcés-Rosendo, 2023. "Betting Scenario for the Management of University Professional Practices from the Conformation of Intersectoral Cooperation Networks," Sustainability, MDPI, vol. 15(7), pages 1-21, April.
    3. Chih-Hung Hsu & Ming-Ge Li & Ting-Yi Zhang & An-Yuan Chang & Shu-Zhen Shangguan & Wan-Ling Liu, 2022. "Deploying Big Data Enablers to Strengthen Supply Chain Resilience to Mitigate Sustainable Risks Based on Integrated HOQ-MCDM Framework," Mathematics, MDPI, vol. 10(8), pages 1-35, April.
    4. Manel Elmsalmi & Wafik Hachicha & Awad M. Aljuaid, 2021. "Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study," Sustainability, MDPI, vol. 13(21), pages 1-17, November.
    5. Aquib Irteza Reshad & Tasnia Biswas & Renu Agarwal & Sanjoy Kumar Paul & Abdullahil Azeem, 2023. "Evaluating barriers and strategies to sustainable supply chain risk management in the context of an emerging economy," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4315-4334, November.
    6. Fahim ul Amin & Qian-Li Dong & Katarzyna Grzybowska & Zahid Ahmed & Bo-Rui Yan, 2022. "A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management," Sustainability, MDPI, vol. 14(5), pages 1-15, February.

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