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A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management

Author

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  • Fahim ul Amin

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Qian-Li Dong

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Katarzyna Grzybowska

    (Faculty of Engineering Management, Poznan University of Technology, Jacka Rychlewskiego 2, 60-965 Poznan, Poland)

  • Zahid Ahmed

    (Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China)

  • Bo-Rui Yan

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

Abstract

This article aims to evaluate sustainable supply chain risks using a novel fuzzy VIKOR–CRITIC technique. The research contributions of this study are twofold. First and foremost, this is the first attempt to integrate the fuzzy VIKOR approach with the CRITIC method in order to eradicate the inadequacies of the VIKOR method. Second, this is the first study to look at the sustainable supply chain risk management in Pakistan’s logistics industry. Four logistics companies were chosen for the study, and thirty criteria were established and divided into four categories using acquired data and literature studies. According to the findings, organizational risks are the most important to consider, whereas environmental hazards have the least influence. Supply delays, freight rate/oil price fluctuations, bankruptcy, and natural catastrophe are the four most important criteria in these categories. Limited suppliers, cargo tracking, IT system failure, and international politics are the four least significant criteria in the four risk categories. The findings are useful for the logistics industry operating in CPEC for risk mitigation and sustainable operation. The research may be used as a guideline for risk identification and management by practitioners and decision-makers in Pakistani logistics organizations.

Suggested Citation

  • Fahim ul Amin & Qian-Li Dong & Katarzyna Grzybowska & Zahid Ahmed & Bo-Rui Yan, 2022. "A Novel Fuzzy-Based VIKOR–CRITIC Soft Computing Method for Evaluation of Sustainable Supply Chain Risk Management," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2827-:d:761363
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    1. Aquib Irteza Reshad & Tasnia Biswas & Renu Agarwal & Sanjoy Kumar Paul & Abdullahil Azeem, 2023. "Evaluating barriers and strategies to sustainable supply chain risk management in the context of an emerging economy," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4315-4334, November.
    2. Fahim ul Amin & Qingkai Ji & María del Carmen Valls Martínez & Qian-Li Dong & Shamsa Kanwal & Iram Zulfiqar, 2023. "The Moderating Effect of Customer Relationship on Supply Chain Risk Management and Organization Performance in Logistics Sector of Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    3. Rimalini Gadekar & Bijan Sarkar & Ashish Gadekar, 2022. "Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian manufacturing industries," Annals of Operations Research, Springer, vol. 318(1), pages 189-249, November.
    4. Paweł Kut & Katarzyna Pietrucha-Urbanik, 2024. "Bibliometric Analysis of Multi-Criteria Decision-Making (MCDM) Methods in Environmental and Energy Engineering Using CiteSpace Software: Identification of Key Research Trends and Patterns of Internati," Energies, MDPI, vol. 17(16), pages 1-27, August.

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