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

Author

Listed:
  • Chaima Ben Abdallah
  • Adnen El-Amraoui

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • François Delmotte

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Ahmed Frikha

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," Post-Print hal-04504792, HAL.
    • Handle: RePEc:hal:journl:hal-04504792
    DOI: 10.3390/su16051889
    as

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