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A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment

Author

Listed:
  • Huiyun Lu

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Shaojun Jiang

    (School of Information Engineering, Handan University, Handan 056005, China)

  • Wenyan Song

    (School of Economics and Management, Beihang University, Beijing 100191, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operations, Beihang University, Beijing 100191, China)

  • Xinguo Ming

    (School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

With the growing awareness of environmental and social issues, sustainable supply chain management (SSCM) has received considerable attention both in academia and industry. Supplier selection plays an important role in the successful implementation of sustainable supply chain management, because it can influence the performance of SSCM. Sustainable supplier selection is a typical multi-criteria decision-making problem involving subjectivity and vagueness. Although some previous researches of supplier selection use fuzzy approaches to deal with vague information, it has been criticized for requiring much priori information and inflexibility in manipulating vagueness. Moreover, the previous methods often omit the environmental and social evaluation criteria in the supplier selection. To manipulate these problems, a new approach based on the rough set theory and ELECTRE (ELimination Et Choix Traduisant la REalité) is developed in this paper. The novel approach integrates the strength of rough set theory in handling vagueness without much priori information and the merit of ELECTRE in modeling multi-criteria decision-making problem. Finally, a case study of sustainable supplier selection for solar air-conditioner manufacturer is provided to demonstrate the application and potential of the approach.

Suggested Citation

  • Huiyun Lu & Shaojun Jiang & Wenyan Song & Xinguo Ming, 2018. "A Rough Multi-Criteria Decision-Making Approach for Sustainable Supplier Selection under Vague Environment," Sustainability, MDPI, vol. 10(8), pages 1-20, July.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2622-:d:160064
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    References listed on IDEAS

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    Cited by:

    1. Morteza Yazdani & Dragan Pamucar & Prasenjit Chatterjee & Ali Ebadi Torkayesh, 2022. "“A multi-tier sustainable food supplier selection model under uncertainty”," Operations Management Research, Springer, vol. 15(1), pages 116-145, June.
    2. Imane Tronnebati & Manal El Yadari & Fouad Jawab, 2022. "A Review of Green Supplier Evaluation and Selection Issues Using MCDM, MP and AI Models," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    3. Ionut Viorel Herghiligiu & Ioan-Bogdan Robu & Marius Pislaru & Adrian Vilcu & Anca Laura Asandului & Silvia Avasilcăi & Catalin Balan, 2019. "Sustainable Environmental Management System Integration and Business Performance: A Balance Assessment Approach Using Fuzzy Logic," Sustainability, MDPI, vol. 11(19), pages 1-30, September.
    4. Nadine Kafa & Anicia Jaegler & Joseph Sarkis, 2020. "Harnessing Corporate Sustainability Decision-Making Complexity: A Field Study of Complementary Approaches," Sustainability, MDPI, vol. 12(24), pages 1-23, December.
    5. Mališa Žižović & Dragan Pamučar & Miloljub Albijanić & Prasenjit Chatterjee & Ivan Pribićević, 2020. "Eliminating Rank Reversal Problem Using a New Multi-Attribute Model—The RAFSI Method," Mathematics, MDPI, vol. 8(6), pages 1-16, June.
    6. Xue-Guo Xu & Hua Shi & Li-Jun Zhang & Hu-Chen Liu, 2019. "Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment," Sustainability, MDPI, vol. 11(23), pages 1-16, November.

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