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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
Additional contact information
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

Sustainability, 2024, vol. 16, issue 5, 1-30

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-resilient supplier selection; fuzzy sets; fuzzy AHP; fuzzy MABAC; dairy farmers (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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