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Green Supplier Selection Using Fuzzy AHP, Fuzzy TOSIS, and Fuzzy WASPAS: A Case Study of the Moroccan Automotive Industry

Author

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  • Imane Tronnebati

    (Technologies and Industrial Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30 000, Morocco)

  • Fouad Jawab

    (Technologies and Industrial Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30 000, Morocco)

  • Youness Frichi

    (Technologies and Industrial Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30 000, Morocco)

  • Jabir Arif

    (Technologies and Industrial Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30 000, Morocco)

Abstract

The green supplier selection presents numerous challenges, from initial assessment to final selection, which specialists in this field of supplier management often encounter. Among the techniques that aim to meet these challenges that are continually progressing is the creation and development of high-quality decision-making tools. In this study, the assessment of suppliers hinges on both traditional and environmental factors. A framework of multi-criteria decision-making (MCDM) is announced in order to appraise green supplier selection. This framework integrates Fuzzy Analytical Hierarchy Process (AHP) combined with two additional methods: WASPAS (“Weighted Aggregated Sum-Product Assessment”) and TOPSIS (“Technique for Order Preference by Similarity to Ideal Solution”). At the outset, there were five environmental criteria for green supplier selection: “Health and Safety”, “Sustainable Product Design”, “ISO 14001 Certification”, “Investment Recovery”, and “Green Packaging”, along with three conventional criteria including quality, price, and delivery, were pinpointed through a review of literature and expert input to facilitate the MCDM approach. As part of demonstrating the pertinency of the recommended framework, a practical case study of the automotive industry in Morocco is discussed. The results demonstrate that the utilized Fuzzy hybrid methods yield consistent rankings for green suppliers. Additionally, among the four green suppliers, number three obtained the best ranking, which indicates the robustness and performance of the chosen models. Furthermore, this study offers a unified platform for selecting green suppliers under a Fuzzy environment. Therefore, the chosen strategy and its analysis provide relevant data and information to decision-makers for the choice and selection of suppliers. It can also provide and help procurement departments and decision-makers to choose and select the efficient ecological supplier in the global market supply chain.

Suggested Citation

  • Imane Tronnebati & Fouad Jawab & Youness Frichi & Jabir Arif, 2024. "Green Supplier Selection Using Fuzzy AHP, Fuzzy TOSIS, and Fuzzy WASPAS: A Case Study of the Moroccan Automotive Industry," Sustainability, MDPI, vol. 16(11), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:11:p:4580-:d:1403904
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    References listed on IDEAS

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    2. Ana-Maria Ionescu & Alexandru-Codrin Ionescu, 2025. "Exploring the Future of Manufacturing: An Analysis of Industry 5.0’s Priorities and Perspectives," Sustainability, MDPI, vol. 17(17), pages 1-24, August.
    3. Kurbanova Karlygash Abdullayevna & Nurmagambetova Azhar Zeynullayevna & Nurgaliyeva Aliya Miyazhdenovna & Dinçer Hasan & Yüksel Serhat & Sigayev Yerbol Abdrakhmanuly, 2025. "Balanced Scorecard-Based Project Priorities of Sustainable Energy Financing Via Artificial Intelligence-Enhanced Hybrid Quantum Decision-Making Modeling," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 35(2), pages 113-139.
    4. Molk Oukili Garti & Jabir Arif & Fouad Jawab & Youness Frichi & Fatima Zahra Benbrahim, 2025. "Factors Impacting the Sustainability of Supply Chain in Industry 5.0: An Exploratory Qualitative Study in Morocco," Logistics, MDPI, vol. 9(2), pages 1-26, April.

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