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Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

Author

Listed:
  • Xue-Guo Xu

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Hua Shi

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Li-Jun Zhang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Hu-Chen Liu

    (College of Economics and Management, China Jiliang University, Hangzhou 310018, China
    School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this paper, we develop a new green supplier evaluation and selection model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the selected criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed green supplier selection model is applied in a case study from the automobile industry to illustrate its practicability and efficiency.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:23:p:6616-:d:290077
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    References listed on IDEAS

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    2. Büyüközkan, Gülçin & Mukul, Esin & Kongar, Elif, 2021. "Health tourism strategy selection via SWOT analysis and integrated hesitant fuzzy linguistic AHP-MABAC approach," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    3. Nuraini Rahim & Lazim Abdullah & Binyamin Yusoff, 2020. "A Border Approximation Area Approach Considering Bipolar Neutrosophic Linguistic Variable for Sustainable Energy Selection," Sustainability, MDPI, vol. 12(10), pages 1-21, May.

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