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A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers

Author

Listed:
  • Huilin Li

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Jiaqi Yang

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Ziquan Xiang

    (School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

Abstract

Under the influence of COVID-19, various emergency supplies have repeatedly broken links, seriously affecting normal life and hindering the sustainable development of enterprises and society. Therefore, suitable emergency suppliers are crucial. To prioritize and select suitable emergency suppliers, key indicators were determined, and evaluation models were established based on the characteristics of epidemic situations and epidemic prevention materials. The application of the MCDM (multi-criteria decision-making) issue combining fuzzy SWARA (the stepwise weight assessment ratio analysis) and the actor analysis method to emergency supplier selection studies, called the fuzzy SWARA-based actor analysis method, is used to identify appropriate suppliers for optimizing pre-preparation. Results of evaluation system weight computations by the Fuzzy SWARA-based actor analysis method show that the overall prioritization of four non-economic factors in ranking orders are “Delivery Capacity”, “Flexible Supply Capacity”, “Quality”, and “Social Evaluation and Reputation”. For the inclusion of conflicting standards and the unquantifiable feature, economic and non-economic factors were discussed separately and evaluated by language variables. Additionally, the fuzzy actor analysis indicated that economic factors and non-economic factors need to be considered comprehensively for emergency supplier selection. This method has good operability and reference value, convenient for the final choice making according to actual situation.

Suggested Citation

  • Huilin Li & Jiaqi Yang & Ziquan Xiang, 2022. "A Fuzzy Linguistic Multi-Criteria Decision-Making Approach to Assess Emergency Suppliers," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13114-:d:940948
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    References listed on IDEAS

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    1. Burcu Balcik & Deniz Ak, 2014. "Supplier Selection for Framework Agreements in Humanitarian Relief," Production and Operations Management, Production and Operations Management Society, vol. 23(6), pages 1028-1041, June.
    2. Zhexuan Zhou & Yajie Dou & Tianjun Liao & Yuejin Tan, 2018. "A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    3. Pratibha Rani & Arunodaya Raj Mishra & Abbas Mardani & Fausto Cavallaro & Dalia Štreimikienė & Syed Abdul Rehman Khan, 2020. "Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection," Sustainability, MDPI, vol. 12(10), pages 1-18, May.
    4. Kaur, Harpreet & Prakash Singh, Surya, 2021. "Multi-stage hybrid model for supplier selection and order allocation considering disruption risks and disruptive technologies," International Journal of Production Economics, Elsevier, vol. 231(C).
    5. Jianzhong Xu & Jiaqi Zhai, 2020. "Research on the Evaluation of Green Innovation Capability of Manufacturing Enterprises in Innovation Network," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    6. Qin, Jindong & Liu, Xinwang & Pedrycz, Witold, 2017. "An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment," European Journal of Operational Research, Elsevier, vol. 258(2), pages 626-638.
    7. J.H. Ruan & X.P. Wang & F.T.S. Chan & Y. Shi, 2016. "Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4368-4386, July.
    8. Guohua Qu & Zhijie Zhang & Weihua Qu & Zeshui Xu, 2020. "Green Supplier Selection Based on Green Practices Evaluated Using Fuzzy Approaches of TOPSIS and ELECTRE with a Case Study in a Chinese Internet Company," IJERPH, MDPI, vol. 17(9), pages 1-32, May.
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