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

Chaima Ben Abdallah, Adnen El-Amraoui (), François Delmotte and Ahmed Frikha
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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

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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.

Keywords: Sustainable; Fuzzy set; Resilient; Supplier selection; Fuzzy AHP; Fuzzy MABAC; Dairy farmers (search for similar items in EconPapers)
Date: 2024-02-25
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Published in Sustainability, 2024, 16 (5), pp.1889. ⟨10.3390/su16051889⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04504792

DOI: 10.3390/su16051889

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