IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p3096-d1372061.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/3096/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/7/3096/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amir Abbas Shojaie & Sepideh Babaie & Emel Sayah & Davood Mohammaditabar, 2018. "Analysis and Prioritization of Green Health Suppliers Using Fuzzy ELECTRE Method with a Case Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 39-52, March.
    2. Dilshad Ahmad & Malika Kanwal & Muhammad Afzal, 2023. "Climate change effects on riverbank erosion Bait community flood-prone area of Punjab, Pakistan: an application of livelihood vulnerability index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 9387-9415, September.
    3. Fang, Hong & Wang, Xu & Song, Wenyan, 2020. "Technology selection for photovoltaic cell from sustainability perspective: An integrated approach," Renewable Energy, Elsevier, vol. 153(C), pages 1029-1041.
    4. Saeid Alaei & Seyed Hossein Razavi Hajiagha & Hannan Amoozad Mahdiraji & Jose Arturo Garza-Reyes, 2023. "Unveiling the role of sustainable supply chain drivers toward knowledge-based economy via a novel permutation approach: implications from an emerging economy," Operations Management Research, Springer, vol. 16(3), pages 1231-1250, September.
    5. Tomas Cherkos Kassaneh & Ettore Bolisani & Juan-Gabriel Cegarra-Navarro, 2021. "Knowledge Management Practices for Sustainable Supply Chain Management: A Challenge for Business Education," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    6. Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    7. Luu Huu Van & Vincent F. Yu & Luu Quoc Dat & Canh Chi Dung & Shuo-Yan Chou & Nguyen Viet Loc, 2018. "New Integrated Quality Function Deployment Approach Based on Interval Neutrosophic Set for Green Supplier Evaluation and Selection," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    8. Xiaoli Tian & Zeshui Xu & Xinxin Wang & Jing Gu & Fawaz E. Alsaadi, 2019. "Decision Models to Find a Promising Start-Up Firm with Qualiflex under Probabilistic Linguistic Circumstance," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1379-1402, July.
    9. Wang, Xu & Fang, Hong & Fang, Siran, 2020. "An integrated approach for exploitation block selection of shale gas—based on cloud model and grey relational analysis," Resources Policy, Elsevier, vol. 68(C).
    10. Chia-Nan Wang & Chao-Fen Pan & Hoang-Phu Nguyen & Pei-Chun Fang, 2023. "Integrating Fuzzy AHP and TOPSIS Methods to Evaluate Operation Efficiency of Daycare Centers," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
    11. Fatih Ecer, 2022. "Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer," Operational Research, Springer, vol. 22(1), pages 199-233, March.
    12. Ivan Ligardo-Herrera & Tomás Gómez-Navarro & Hannia Gonzalez-Urango, 2019. "Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 679-701, September.
    13. Ferenc Bognár & Balázs Szentes & Petra Benedek, 2022. "Development of the PRISM Risk Assessment Method Based on a Multiple AHP-TOPSIS Approach," Risks, MDPI, vol. 10(11), pages 1-16, November.
    14. Singh, Mudit Kumar, 2023. "What is state capacity and how does it matter for energy transition?," Energy Policy, Elsevier, vol. 183(C).
    15. Chia-Chi Sun & Shih-Chi Chang, 2021. "An Assessment Framework for Solar Cell Material Based on a Modified Fuzzy DEMATEL Approach," Energies, MDPI, vol. 14(18), pages 1-17, September.
    16. Wu, Zhongqun & Yang, Chan & Zheng, Ruijin, 2022. "Developing a holistic fuzzy hierarchy-cloud assessment model for the connection risk of renewable energy microgrid," Energy, Elsevier, vol. 245(C).
    17. Song, Wenyan & Xu, Zhitao & Liu, Hu-Chen, 2017. "Developing sustainable supplier selection criteria for solar air-conditioner manufacturer: An integrated approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1461-1471.
    18. Dan-Ping Li & Li Xie & Peng-Fei Cheng & Xiang-Hong Zhou & Cheng-Xun Fu, 2021. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model," SAGE Open, , vol. 11(4), pages 21582440211, November.
    19. Mohammed, Ahmed & Yazdani, Morteza & Govindan, Kannan & Chatterjee, Prasenjit & Hubbard, Nicolas, 2023. "Would your company’s resilience be internally viable after COVID-19 pandemic disruption?: A new PADRIC-based diagnostic methodology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    20. Hua Shi & Mei-Yun Quan & Hu-Chen Liu & Chun-Yan Duan, 2018. "A Novel Integrated Approach for Green Supplier Selection with Interval-Valued Intuitionistic Uncertain Linguistic Information: A Case Study in the Agri-Food Industry," Sustainability, MDPI, vol. 10(3), pages 1-18, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3096-:d:1372061. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.