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Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues

Author

Listed:
  • Alaa Fouad Momena

    (Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharaj 11942, Saudi Arabia
    These authors contributed equally to this work.)

  • Kamal Hossain Gazi

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India
    These authors contributed equally to this work.)

  • Sankar Prasad Mondal

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, West Bengal, Haringhata 741249, West Bengal, India
    These authors contributed equally to this work.)

Abstract

Background: The supply chain refers to the full process of creating and providing a good or service, starting with the raw materials and ending with the final customer. It requires cooperation and coordination between many parties, including the suppliers, manufacturers, distributors, retailers, and customers. Methods: In the medicinal supply chain (MSC), the critical nature of these processes becomes more complicated. It requires strict regulation, quality control, and traceability to ensure patient safety and compliance with regulatory standards. This study is conducted to suggest a smooth channel to deal with the challenges and adaptability of the MSC. Different MSC challenges are considered as criteria which deal with various adaptation plans. Multi-criteria decision-making (MCDM) methodologies are taken as optimization tools and probabilistic linguistic term sets (PLTSs) are considered for express uncertainty. Results: The subscript degree function (SDF) and deviation degree function (DDF) are introduced to evaluate the crisp value of the PLTSs. An MSC model is constructed to optimize the sustainable medicinal supply chain and overcome various barriers to MSC problems. Conclusions: Additionally, sensitivity analysis and comparative analysis were conducted to check the robustness and flexibility of the system. Finally, the conclusion section determines the optimal weighted criteria for the MSC problem and identifies the best possible solutions for MSC using PLTS-based MCDM methodologies.

Suggested Citation

  • Alaa Fouad Momena & Kamal Hossain Gazi & Sankar Prasad Mondal, 2025. "Multi-Criteria Decision Analysis for Sustainable Medicinal Supply Chain Problems with Adaptability and Challenges Issues," Logistics, MDPI, vol. 9(1), pages 1-32, February.
    • Handle: RePEc:gam:jlogis:v:9:y:2025:i:1:p:31-:d:1591765
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    References listed on IDEAS

    as
    1. Mohsen Ramezanzade & Hossein Karimi & Khalid Almutairi & Hoa Ao Xuan & Javad Saebi & Ali Mostafaeipour & Kuaanan Techato, 2021. "Implementing MCDM Techniques for Ranking Renewable Energy Projects under Fuzzy Environment: A Case Study," Sustainability, MDPI, vol. 13(22), pages 1-38, November.
    2. ManMohan S. Sodhi & Christopher S. Tang, 2021. "Supply Chain Management for Extreme Conditions: Research Opportunities," Journal of Supply Chain Management, Institute for Supply Management, vol. 57(1), pages 7-16, January.
    3. Jing Gu & Ying Zheng & Xiaoli Tian & Zeshui Xu, 2021. "A decision-making framework based on prospect theory with probabilistic linguistic term sets," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(4), pages 879-888, March.
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