Article: New approach for sustainable and resilient dairy farmer selection under uncertainty Journal: International Journal of Logistics Systems and Management (IJLSM) 2024 Vol.49 No.4 pp.486 - 528 Abstract: In this paper, we propose a hybrid multi-criteria decision-making (MCDM) model under fuzzy environment to select sustainable and resilient suppliers for a real case study of dairy industry in Tunisia. Initially, 12 criteria are applied for categorising of suppliers into four indexes including social, environmental, economic, and resiliency index through literature review and experts' opinions. A fuzzy analytic hierarchy process (FAHP) is proposed to calculate the weight of each criterion, which is used as input in a new fuzzy multi-attribute border approximation area comparison (FMABAC) method for ranking suppliers. The proposed approach may help decision-makers to naturally express their preferences for evaluating supplier selection criteria and to identify the most efficient dairy farmers. Finally, obtained results are discussed by using two sensitivity analysis methods, namely, changing the weights of criteria and comparative analysis with other fuzzy MCDM methods. Inderscience Publishers - linking academia, business and industry through research

Title: New approach for sustainable and resilient dairy farmer selection under uncertainty

Authors: Chaima Benabdallah; Adnen El-Amraoui; François Delmotte; Ahmed Frikha

Addresses: Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), University of Artois, EA 3926, F-62400, Béthune, France; Higher Institute of Industrial Management of Sfax, University of Sfax, Tunisia ' Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), University of Artois, EA 3926, F-62400, Béthune, France ' Laboratoire de Génie Informatique et d'Automatique de l'Artois (LGI2A), University of Artois, EA 3926, F-62400, Béthune, France ' Higher Institute of Industrial Management of Sfax, University of Sfax, Tunisia

Abstract: In this paper, we propose a hybrid multi-criteria decision-making (MCDM) model under fuzzy environment to select sustainable and resilient suppliers for a real case study of dairy industry in Tunisia. Initially, 12 criteria are applied for categorising of suppliers into four indexes including social, environmental, economic, and resiliency index through literature review and experts' opinions. A fuzzy analytic hierarchy process (FAHP) is proposed to calculate the weight of each criterion, which is used as input in a new fuzzy multi-attribute border approximation area comparison (FMABAC) method for ranking suppliers. The proposed approach may help decision-makers to naturally express their preferences for evaluating supplier selection criteria and to identify the most efficient dairy farmers. Finally, obtained results are discussed by using two sensitivity analysis methods, namely, changing the weights of criteria and comparative analysis with other fuzzy MCDM methods.

Keywords: sustainable-resilient supplier selection; fuzzy sets; fuzzy AHP; fuzzy MABAC; dairy farmers.

DOI: 10.1504/IJLSM.2024.143388

International Journal of Logistics Systems and Management, 2024 Vol.49 No.4, pp.486 - 528

Received: 13 Oct 2021
Accepted: 05 Apr 2022
Published online: 17 Dec 2024 *

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Title: New approach for sustainable and resilient dairy farmer selection under uncertainty

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