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A Developed Model and Fuzzy Multi-Criteria Decision-Making Method to Evaluate Supply Chain Nervousness Strategies

Author

Listed:
  • Ghazi M. Magableh

    (Industrial Engineering Department, Faculty of Hijjawi for Engineering Technology, Yarmouk University, Irbid 21163, Jordan)

  • Mahmoud Z. Mistarihi

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

  • Taha Rababah

    (Department of Nutrition and Food Technology, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan)

  • Ali Almajwal

    (Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11543, Saudi Arabia)

  • Numan Al-Rayyan

    (School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53706, USA
    National Agricultural Research Center, Baq’a 19381, Jordan)

Abstract

Nervousness is thought to be a source of confusion, instability, or uncertainty in SC systems due to disruptions and frequent changes in decisions. Nervousness persists even with consistent SCs, which arise from planning flexibility in response to changes, where responsiveness and customer satisfaction balance. Although the term “nervousness” is well known, to our knowledge no prior research has examined and explored supply chain nervousness strategies (SCNSs). This research explores supply chain nervousness strategies, factors, reduction methods, and recent trends in the supply chain’s relationship with nervousness. The main purpose of this research is to determine the comprehensive and relevant nervousness strategies in the supply chains, especially in light of the unprecedented development and change in business, economics, and technology and the fierce competition. SCN strategies are introduced in a developed model to designate SCN measurements and indicators, mitigation strategies and stages, and management strategies. The fuzzy PROMETHEE method is employed to rank the strategies based on their importance and order of implementation. The suggested method for managing nervousness is then presented with a numerical case, along with the results. The research outcomes indicate that the top five strategies for managing nervousness include planning continuity, utilizing technology, managing nervousness, improving the SC cyber system, and managing supplies. The findings assist decision makers, practitioners, and managers in focusing on SC improvement, resilience, and sustainability.

Suggested Citation

  • Ghazi M. Magableh & Mahmoud Z. Mistarihi & Taha Rababah & Ali Almajwal & Numan Al-Rayyan, 2024. "A Developed Model and Fuzzy Multi-Criteria Decision-Making Method to Evaluate Supply Chain Nervousness Strategies," Mathematics, MDPI, vol. 12(10), pages 1-26, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1604-:d:1398244
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    References listed on IDEAS

    as
    1. Ghazi M. Magableh & Mahmoud Z. Mistarihi, 2023. "Global Supply Chain Nervousness (GSCN)," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    2. Le Teno, J. F. & Mareschal, B., 1998. "An interval version of PROMETHEE for the comparison of building products' design with ill-defined data on environmental quality," European Journal of Operational Research, Elsevier, vol. 109(2), pages 522-529, September.
    3. Nadine Kafa & Yasmina Hani & Abederrahman El Mhamedi, 2018. "Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 14-49, March.
    4. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Unveiling Supply Chain Nervousness: A Strategic Framework for Disruption Management under Fuzzy Environment," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    5. Mahmoud Z. Mistarihi & Ghazi M. Magableh, 2023. "Prioritization of Supply Chain Capabilities Using the FAHP Technique," Sustainability, MDPI, vol. 15(7), pages 1-19, April.
    6. Satyendra Kumar Sharma & Praveen Ranjan Srivastava & Ajay Kumar & Anil Jindal & Shivam Gupta, 2023. "Supply chain vulnerability assessment for manufacturing industry," Annals of Operations Research, Springer, vol. 326(2), pages 653-683, July.
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