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A Hybrid Approach Based on Consensus Decision Making for Green Supplier Selection in Automotive Industry

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  • Sema Akin Bas

    (Department of Mathematics, Yildiz Technical University, Istanbul 34220, Türkiye)

Abstract

With increased global commerce, businesses must manage their supply chains while taking into account not only costs but also environmental implications. The decision-making of Green Supplier Selection (GSS) is a strategic priority for companies to survive in challenging market conditions and to effectively and sustainably manage their supply chains in the increasingly polluted and resource-depleted world. Environmental sustainability can be enhanced with the appropriate criteria when choosing green suppliers. Based on these motivations, it is necessary to determine the correct criteria, classify the chosen criteria and employ an effective evaluation method in the GSS process. In particular, evaluating each criterion at its own level is of strategic importance. In this paper, the GSS model, handled by group decision-making, is constructed with multi-sub-criteria to increase the competitive advantage of businesses in challenging market conditions for the purpose of ensuring a sustainable future. A novel hybrid methodology of the Interval Type-2 Fuzzy (IT2F) Analytical Hierarchy Process (AHP) and IT2F Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is presented for the GSS model to deal with uncertainty. This study provides decision-makers with an effective method that performs fuzzy calculations at all steps until a solution is found, especially in areas that may have a complex hierarchical structure, such as the automotive industry. In the proposed method, unlike most studies in the literature, if a criterion has sub-criteria (or multi-sub-criteria) in the hierarchy considered, each criterion is evaluated with other criteria at its own level, without the need for all other criteria to have sub-criteria (or multi-sub-criteria). The effectiveness of the proposed method has been demonstrated by testing it with an application taken from the automotive industry with a complex-structured multi-level hierarchy. Additionally, sensitivity analysis has been conducted to assess the impact of changes in subjective input by means of scenarios.

Suggested Citation

  • Sema Akin Bas, 2024. "A Hybrid Approach Based on Consensus Decision Making for Green Supplier Selection in Automotive Industry," Sustainability, MDPI, vol. 16(7), pages 1-29, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3096-:d:1372061
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    References listed on IDEAS

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    1. Hsiu Mei Wang Chen & Shuo-Yan Chou & Quoc Dat Luu & Tiffany Hui-Kuang Yu, 2016. "A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-10, February.
    2. Lazar D. Gitelman & Mikhail V. Kozhevnikov, 2023. "New Approaches to the Concept of Energy Transition in the Times of Energy Crisis," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    3. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    4. Miguel Angel Ortiz Barrios & Fabio De Felice & Kevin Parra Negrete & Brandon Aleman Romero & Adriana Yaruro Arenas & Antonella Petrillo, 2016. "An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(04), pages 861-885, July.
    5. Mehdi Keshavarz Ghorabaee & Maghsoud Amiri & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene, 2017. "Supplier evaluation and selection in fuzzy environments: a review of MADM approaches," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 30(1), pages 1073-1118, January.
    6. K. Mathiyazhagan & S. Sudhakar & Abhishek Bhalotia, 2018. "Modeling the criteria for selection of suppliers towards green aspect: a case in Indian automobile industry," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 65-84, March.
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