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Proceedings of the Ninth International Conference on Management Science and Engineering Management pp 1465–1476Cite as

A Fuzzy Multi-Criteria Group Decision Making Model for Measuring Risks in a Supply Chain Using Extended VIKOR Method

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Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 362)

Abstract

In this paper, we quantify risks in a supply chain process from an aviation’s perspective. Due to globalization, supply chains are getting more and more risky than before. As risk is inherent and uncertain activity, if it occurs then all of the supply chain partners will be impacted with a significant loss. To deal with this problem, a comprehensive risk evaluation index system has been proposed, which captures the level of risk faced by a supply chain in a given situation. For measuring risks in a supply chain we formulated a fuzzy multi-criteria group decision making model based on extended VIKOR method to determine the best feasible solution according to the selected risk parameters. A practical case study is conducted to test the applicability of the proposed methodology. Finally, we discuss the effectiveness of the proposed framework and rank the risk alternatives in descending order.

Keywords

  • Supply chain risk management
  • Multi-criteria group decision making
  • Fuzzy VIKOR
  • Risk index
  • Aviation sector

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  • DOI: 10.1007/978-3-662-47241-5_122
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Acknowledgments

The authors wish to thank the anonymous referees for their helpful and constructive comments and suggestions. The work is supported by the National Natural Science Foundation of China (Grant No. 71301109, 71401114), the Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China (Grant No. 13XJC630018), the Philosophy and Social Sciences Planning Project of Sichuan province (Grant No. SC12BJ05).

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Authors and Affiliations

  1. Uncertainty Decision-Making Laboratory, Sichuan University, Chengdu, 610064, People’s Republic of China

    Muhammad Nazam, Jamil Ahmad, Muhammad Kashif Javed & Adnan Sarwar

  2. Department of Business Administration, National Textile University, Faisalabad, 37610, Pakistan

    Muhammad Hashim

  3. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, People’s Republic of China

    Shahid Rasheed

Authors
  1. Muhammad Nazam
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  2. Jamil Ahmad
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  3. Muhammad Kashif Javed
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  4. Muhammad Hashim
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  5. Adnan Sarwar
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  6. Shahid Rasheed
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Corresponding author

Correspondence to Muhammad Nazam .

Editor information

Editors and Affiliations

  1. Sichuan University Room 611, Business School, Chengdu, Sichuan, China

    Jiuping Xu

  2. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Stefan Nickel

  3. Industrial Engineering, Universidade Nova de Lisboa, Lisbon, Portugal

    Virgilio Cruz Machado

  4. Azerbaijan National Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

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Nazam, M., Ahmad, J., Javed, M.K., Hashim, M., Sarwar, A., Rasheed, S. (2015). A Fuzzy Multi-Criteria Group Decision Making Model for Measuring Risks in a Supply Chain Using Extended VIKOR Method. In: Xu, J., Nickel, S., Machado, V., Hajiyev, A. (eds) Proceedings of the Ninth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47241-5_122

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  • DOI: https://doi.org/10.1007/978-3-662-47241-5_122

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47240-8

  • Online ISBN: 978-3-662-47241-5

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