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Article Dans Une Revue Sustainability Année : 2024

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

Résumé

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.

Dates et versions

hal-04504792 , version 1 (14-03-2024)

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Chaima Ben Abdallah, Adnen El-Amraoui, François Delmotte, Ahmed Frikha. A Hybrid Approach for Sustainable and Resilient Farmer Selection in Food Industry: Tunisian Case Study. Sustainability, 2024, 16 (5), pp.1889. ⟨10.3390/su16051889⟩. ⟨hal-04504792⟩

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