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Ranking and Challenges of Supply Chain Companies Using MCDM Methodology

Author

Listed:
  • Alaa Fouad Momena

    (Department of Industrial Engineering, College of Engineering, Prince Sattam Bin Abdulaziz University, Al Kharj 11942, Saudi Arabia)

  • Kamal Hossain Gazi

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, Haringhata 741249, West Bengal, India)

  • Mostafijur Rahaman

    (Department of Mathematics, School of Liberal Arts & Sciences, Mohan Babu University, Tirupati 517102, Andhra Pradesh, India)

  • Anna Sobczak

    (Faculty of Economics, The Jacob of Paradies University, 66-400 Gorzów Wielkopolski, Poland)

  • Soheil Salahshour

    (Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul 34959, Turkey
    Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul 34488, Turkey
    Department of Computer Science and Mathematics, Lebanese American University, Beirut 13-5053, Lebanon)

  • Sankar Prasad Mondal

    (Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology, Haringhata 741249, West Bengal, India)

  • Arijit Ghosh

    (Department of Mathematics, St. Xavier’s College (Autonomous), Kolkata 700016, West Bengal, India)

Abstract

Background : Supply chain companies have merits and demerits regarding operational and economic transactional policies. The effectiveness of supply chain companies corresponds to a cumulative score on a multi-criteria and perspectives-based evaluation. In this paper, we analyse the performances and challenges of several celebrated e-commerce companies to perceive their overall impression of supply chain management. Method : A mathematical model is framed as a multi-criteria decision-making (MCDM) problem with challenges as criteria and companies as alternatives. The criteria importance through inter-criteria correlation (CRITIC) method is used in this paper to adjust weights representing the available data. The ranking of e-commerce companies is evaluated using multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method. Results : This model investigates the most dependent criteria and sub-criteria for the adaptation challenges of supply chain companies (SCCs). Furthermore, the SCCs are prioritized based on various conflicting criteria. Conclusion : Various challenges of SCCs, like logistics constraints, disruptions in supply chains, issues with technology, ethical sourcing and inconsistency between the products’ availability and the pace of consumption, are considered and analysed. We amassed the difficulties as criteria and sub-criteria in a numerical process using the MCDM approach. Additionally, the sensitivity and comparative of several optimal phenomena are analysed based on distinctive combinations of challenges in the ranking arena.

Suggested Citation

  • Alaa Fouad Momena & Kamal Hossain Gazi & Mostafijur Rahaman & Anna Sobczak & Soheil Salahshour & Sankar Prasad Mondal & Arijit Ghosh, 2024. "Ranking and Challenges of Supply Chain Companies Using MCDM Methodology," Logistics, MDPI, vol. 8(3), pages 1-32, September.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:87-:d:1472135
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    References listed on IDEAS

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    2. Naimi Ait-Aoudia, Meriem, 2025. "Design and sustainability assessment of water strategy scenarios based on resource carrying capacity and multi-criteria decision-making: the case of Algiers," Utilities Policy, Elsevier, vol. 96(C).
    3. Nhat-Luong Nhieu & Hoang-Kha Nguyen & Nguyen Truong Thinh, 2025. "Industrial Palletizing Robots: A Distance-Based Objective Weighting Benchmarking," Mathematics, MDPI, vol. 13(20), pages 1-22, October.

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