IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i14p6277-d1697674.html
   My bibliography  Save this article

A Hybrid Approach for Battery Selection Based on Green Criteria in Electric Vehicles: DEMATEL-QFD-Interval Type-2 Fuzzy VIKOR

Author

Listed:
  • Müslüm Öztürk

    (Department of Computer Technologies, Kilis 7 Aralik University, 79000 Kilis, Turkey)

Abstract

Production involves processes such as raw material extraction, energy consumption, and waste management, which can lead to significant environmental consequences. Therefore, supplier selection based not only on technical performance but also on environmental sustainability criteria has become a fundamental component of eco-friendly manufacturing strategies. Moreover, in the selection of electric vehicle batteries, it is essential to consider customer demands alongside environmental factors. Accordingly, selected suppliers should fulfill company expectations while also reflecting the “voice” of the customer. The objective of this study is to propose an integrated approach for green supplier selection by taking into account various environmental performance requirements and criteria. The proposed approach evaluates battery suppliers with respect to both customer requirements and green criteria. To construct the relational structure, the DEMATEL method was employed to analyze the interrelationships among customer requirements (CRs). Subsequently, the Quality Function Deployment (QFD) model was used to establish a central relational matrix that captures the degree of correlation between each pair of supplier selection criteria and CRs. Finally, to evaluate and rank alternative suppliers, the Interval Type-2 Fuzzy VIKOR (IT2 F-VIKOR) method was applied. The hybrid approach proposed by us, integrating DEMATEL, QFD, and IT2 F-VIKOR, offers significant improvements over traditional methods. Unlike previous approaches that focus independently on customer preferences or supplier criteria, our model provides a unified evaluation by considering both dimensions simultaneously. Furthermore, the use of Interval Type-2 Fuzzy Logic enables the model to better manage uncertainty and ambiguity in expert judgments, yielding more reliable results compared to conventional fuzzy approaches. Additionally, the applicability of the model has been demonstrated through a real-world case study, confirming its practical relevance and robustness in the selection of green suppliers for electric vehicle battery procurement.

Suggested Citation

  • Müslüm Öztürk, 2025. "A Hybrid Approach for Battery Selection Based on Green Criteria in Electric Vehicles: DEMATEL-QFD-Interval Type-2 Fuzzy VIKOR," Sustainability, MDPI, vol. 17(14), pages 1-33, July.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:14:p:6277-:d:1697674
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/14/6277/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/14/6277/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Cuthbertson & Wojciech Piotrowicz, 2008. "Supply chain best practices – identification and categorisation of measures and benefits," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(5), pages 389-404, June.
    2. Khademi-Zare, Hassan & Zarei, Mahnaz & Sadeghieh, Ahmad & Saleh Owlia, Mohammad, 2010. "Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD," Telecommunications Policy, Elsevier, vol. 34(11), pages 747-759, December.
    3. Dianfeng Zhang & Yanlai Li & Yiqun Li & Zifan Shen, 2022. "Service Failure Risk Assessment and Service Improvement of Self-Service Electric Vehicle," Sustainability, MDPI, vol. 14(7), pages 1-26, March.
    4. Richard Cuthbertson & Wojciech Piotrowicz, 2008. "Supply chain best practices – identification and categorisation of measures and benefits," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(5), pages 389-404, June.
    5. Babar, Abdul Haseeb Khan & Ali, Yousaf, 2021. "Enhancement of electric vehicles’ market competitiveness using fuzzy quality function deployment," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    6. Fuli Zhou & Xu Wang & Yun Lin & Yandong He & Lin Zhou, 2016. "Strategic Part Prioritization for Quality Improvement Practice Using a Hybrid MCDM Framework: A Case Application in an Auto Factory," Sustainability, MDPI, vol. 8(6), pages 1-17, June.
    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. Cagli, Efe Caglar, 2023. "The volatility spillover between battery metals and future mobility stocks: Evidence from the time-varying frequency connectedness approach," Resources Policy, Elsevier, vol. 86(PA).
    2. Junliang Du & Naiming Xie & Sifeng Liu & Mark Goh, 2025. "Grey linguistic term sets for decision-making," Annals of Operations Research, Springer, vol. 348(1), pages 489-509, May.
    3. Yanhua Liang & Hongjuan Lu, 2022. "Dynamic Evaluation and Regional Differences Analysis of the NEV Industry Development in China," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    4. Jianguo Di & Wenge Liu & Jiaqi Sun & Dianfeng Zhang, 2025. "Market Potential Evaluation of Photovoltaic Technologies in the Context of Future Architectural Trends," Sustainability, MDPI, vol. 17(3), pages 1-27, January.
    5. Peng, Ruoqing & Tang, Justin Hayse Chiwing G. & Yang, Xiong & Meng, Meng & Zhang, Jie & Zhuge, Chengxiang, 2024. "Investigating the factors influencing the electric vehicle market share: A comparative study of the European Union and United States," Applied Energy, Elsevier, vol. 355(C).
    6. Iwona Krzyżewska & Katarzyna Chruzik, 2023. "Maintenance and Exploitation of Electric, Hybrid, and Internal Combustion Vehicles," Energies, MDPI, vol. 16(23), pages 1-22, November.
    7. Chen Liang & Dongshi Sun & Danlan Xie, 2023. "Identifying Waste Supply Chain Coordination Barriers with Fuzzy MCDM," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    8. Ming-Tsang Lu & Hsi-Peng Lu & Chiao-Shan Chen, 2022. "Exploring the Key Priority Development Projects of Smart Transportation for Sustainability: Using Kano Model," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    9. Mehdi Montakhabi & Ine Van Zeeland & Pieter Ballon, 2022. "Barriers for Prosumers’ Open Business Models: A Resource-Based View on Assets and Data-Sharing in Electricity Markets," Sustainability, MDPI, vol. 14(9), pages 1-29, May.
    10. Srđan Dimić & Dragan Pamučar & Srđan Ljubojević & Boban Đorović, 2016. "Strategic Transport Management Models—The Case Study of an Oil Industry," Sustainability, MDPI, vol. 8(9), pages 1-27, September.
    11. Shao, Liuguo & Kou, Wenwen & Zhang, Hua, 2022. "The evolution of the global cobalt and lithium trade pattern and the impacts of the low-cobalt technology of lithium batteries based on multiplex network," Resources Policy, Elsevier, vol. 76(C).
    12. Ouenniche, Jamal & Pérez-Gladish, Blanca & Bouslah, Kais, 2018. "An out-of-sample framework for TOPSIS-based classifiers with application in bankruptcy prediction," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 111-116.
    13. Adivar, Burcu & Hüseyinoğlu, Işık Özge Yumurtacı & Christopher, Martin, 2019. "A quantitative performance management framework for assessing omnichannel retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 257-269.
    14. Youdong Jia & Jianxiong Liu & Zhengfang Li, 2023. "Research on Magnetic Rollers for Recovering Non-Ferrous Metals from End-of-Life Vehicles Employing Machine Learning," Sustainability, MDPI, vol. 15(18), pages 1-16, September.
    15. Khan Babar, Abdul Haseeb & Ali, Yousaf, 2022. "Framework construction for augmentation of resilience in critical infrastructure: Developing countries a case in point," Technology in Society, Elsevier, vol. 68(C).
    16. Claudia Margarita Acuña-Soto & Vicente Liern & Blanca Pérez-Gladish, 2020. "Multiple criteria performance evaluation of YouTube mathematical educational videos by IS-TOPSIS," Operational Research, Springer, vol. 20(4), pages 2017-2039, December.
    17. Morteza Yazdani & Sarfaraz Hashemkhani Zolfani & Edmundas Kazimieras Zavadskas, 2016. "New integration of MCDM methods and QFD in the selection of green suppliers," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 17(6), pages 1097-1113, November.
    18. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:14:p:6277-:d:1697674. 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.