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An Integrated Fuzzy MCDM Method for Assessing Crisis Recovery Strategies in the Supply Chain

Author

Listed:
  • Ghazi M. Magableh

    (Industrial Engineering Department, Yarmouk University, Irbid 21163, Jordan)

  • Mahmoud Z. Mistarihi

    (Industrial Engineering Department, Yarmouk University, Irbid 21163, Jordan
    Department Mechanical and Industrial Engineering, Liwa College, Abu Dhabi 41009, United Arab Emirates)

Abstract

Making decisions and building strategies to enhance the supply chain are currently essential if companies want to keep up with modern advances and compete in both the local and global markets. However, the coronavirus pandemic heightened the necessity for decision making and the adoption of strategies for supply chain improvement and transformation to effectively deal with crises and ongoing change. This paper introduces a framework for recovery strategies to characterize the correlation at various stages among the key concerns of the supply chain because of COVID-19, recovery decisions, the areas of development, the strategic recovery plan, and the objectives of the recovery strategies to restore the supply chain (SC). This study used a combination of quantitative and qualitative techniques to identify possible areas for supply chain improvement and rank viable solutions. A combined fuzzy ANP–fuzzy TOPSIS method is proposed to prioritize and rank the areas of improvement. The results indicate that digitization and the utilization of emerging technology play critical roles in supply-chain recovery from disruptions and different current and future SC changes.

Suggested Citation

  • Ghazi M. Magableh & Mahmoud Z. Mistarihi, 2024. "An Integrated Fuzzy MCDM Method for Assessing Crisis Recovery Strategies in the Supply Chain," Sustainability, MDPI, vol. 16(6), pages 1-26, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2383-:d:1356288
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    References listed on IDEAS

    as
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