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A Hybrid Approach for Sustainable and Resilient Farmer Selection in Food Industry: Tunisian Case Study

Author

Listed:
  • Chaima Ben Abdallah

    (LASPI Laboratory, Jeant Monnet University Saint Etienne (EA 3059), 42300 Raonne, France)

  • Adnen El-Amraoui

    (Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A—UR 3926), Université d’Artois, F-62400 Béthune, France)

  • François Delmotte

    (Laboratoire de Génie Informatique et d’Automatique de l’Artois (LGI2A—UR 3926), Université d’Artois, F-62400 Béthune, France)

  • Ahmed Frikha

    (OLID Laboratory, Higher Institute of Industrial Management of Sfax, University of Sfax, Sfax 3029, Tunisia)

Abstract

This paper presents an innovative approach for supplier selection (SS) within the Tunisian dairy industry, with a specific focus on sustainability and resilience. The proposed method is a hybrid model that integrates multi-criteria decision-making (MCDM) with fuzzy logic. Initially, twelve distinct criteria are identified, categorized into social, environmental, economic, and resilience indexes through a combination of literature review and expert input. To establish the importance of these criteria, a fuzzy analytic hierarchy process (FAHP) is employed to calculate their weights. These weights are then integrated into a new method called fuzzy multi-attribute border approximation area comparison (FMABAC) to rank the suppliers. The methodology aims to provide decision-makers with a more intuitive means of expressing their preferences and evaluating supplier criteria, ultimately identifying the most effective dairy farmers. The research concludes by evaluating the results through two sensitivity analyses: one involving varying criteria weights and the other involving a comparative assessment with alternative fuzzy MCDM techniques.

Suggested Citation

  • Chaima Ben Abdallah & Adnen El-Amraoui & François Delmotte & Ahmed Frikha, 2024. "A Hybrid Approach for Sustainable and Resilient Farmer Selection in Food Industry: Tunisian Case Study," Sustainability, MDPI, vol. 16(5), pages 1-31, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:1889-:d:1345757
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    References listed on IDEAS

    as
    1. Alikhani, Reza & Torabi, S. Ali & Altay, Nezih, 2019. "Strategic supplier selection under sustainability and risk criteria," International Journal of Production Economics, Elsevier, vol. 208(C), pages 69-82.
    2. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    3. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
    4. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    5. Cavalcante, Ian M. & Frazzon, Enzo M. & Forcellini, Fernando A. & Ivanov, Dmitry, 2019. "A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing," International Journal of Information Management, Elsevier, vol. 49(C), pages 86-97.
    6. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    7. Zahiri, Behzad & Zhuang, Jun & Mohammadi, Mehrdad, 2017. "Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 109-142.
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