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Supplier selection in supplier chain management using Choquet integral-based linguistic operators under fuzzy heterogeneous environment

Author

Listed:
  • Xiqin Wen

    (Huaihai Institute of Technology)

  • Mingchao Yan

    (Huaihai Institute of Technology)

  • Jieyu Xian

    (Nanjing Agricultural University)

  • Rui Yue

    (Wuxi City College of Vocational Technology)

  • Anhua Peng

    (Huaihai Institute of Technology)

Abstract

The fierce competition and the globalization of the market economy urge manufacturing organizations to adopt advanced manufacturing paradigms for sustaining in the global markets. Supply chain management is an essential ingredient of advanced manufacturing systems and finding those partners with the best fit to the existing supply chain is a vital issue concerned in the process of managing supply chains. Due to the decision maker’s knowledge field and the nature of evaluated attributes, assessments are always with different formats, which were first unified into the linguistic terms in the standard linguistic set. Two additive fuzzy measures were used to model criteria interactions by pairs and to derive the special expressions of Marichal entropy and Choquet integral, which is more convenient to use in practice. Fuzzy measures were identified based on the maximum of Marichal entropy. The decision making procedure was illustrated taking an automobile manufacturing industry as an example, compared with the other methods, and showed the feasibilities and advantages. The inadequacies as well as the further research directions were proposed.

Suggested Citation

  • Xiqin Wen & Mingchao Yan & Jieyu Xian & Rui Yue & Anhua Peng, 2016. "Supplier selection in supplier chain management using Choquet integral-based linguistic operators under fuzzy heterogeneous environment," Fuzzy Optimization and Decision Making, Springer, vol. 15(3), pages 307-330, September.
    • Handle: RePEc:spr:fuzodm:v:15:y:2016:i:3:d:10.1007_s10700-015-9228-2
    DOI: 10.1007/s10700-015-9228-2
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    References listed on IDEAS

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    1. Talluri, Srinivas & Baker, R. C., 2002. "A multi-phase mathematical programming approach for effective supply chain design," European Journal of Operational Research, Elsevier, vol. 141(3), pages 544-558, September.
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    Cited by:

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    2. Runtong Zhang & Yuping Xing & Jun Wang & Xiaopu Shang & Xiaomin Zhu, 2018. "A Novel Multiattribute Decision-Making Method Based on Point–Choquet Aggregation Operators and Its Application in Supporting the Hierarchical Medical Treatment System in China," IJERPH, MDPI, vol. 15(8), pages 1-29, August.
    3. Jih-Jeng Huang, 2023. "Building the hierarchical Choquet integral as an explainable AI classifier via neuroevolution and pruning," Fuzzy Optimization and Decision Making, Springer, vol. 22(1), pages 81-102, March.
    4. Shaojun Lu & Jun Pei & Xinbao Liu & Panos M. Pardalos, 2020. "Robust parallel-batching scheduling with fuzzy deteriorating processing time and variable delivery time in smart manufacturing," Fuzzy Optimization and Decision Making, Springer, vol. 19(3), pages 333-357, September.
    5. Yayi Yuan & Zeshui Xu & Yixin Zhang, 2022. "The DEMATEL–COPRAS hybrid method under probabilistic linguistic environment and its application in Third Party Logistics provider selection," Fuzzy Optimization and Decision Making, Springer, vol. 21(1), pages 137-156, March.
    6. Wenqi Liu & Yucheng Dong & Francisco Chiclana & Francisco Javier Cabrerizo & Enrique Herrera-Viedma, 2017. "Group decision-making based on heterogeneous preference relations with self-confidence," Fuzzy Optimization and Decision Making, Springer, vol. 16(4), pages 429-447, December.

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