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New approach for sustainable and resilient dairy farmer selection under uncertainty

Author

Listed:
  • Chaima Benabdallah
  • Adnen El-Amraoui
  • François Delmotte
  • Ahmed Frikha

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.

Suggested Citation

  • Chaima Benabdallah & Adnen El-Amraoui & François Delmotte & Ahmed Frikha, 2024. "New approach for sustainable and resilient dairy farmer selection under uncertainty," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 49(4), pages 486-528.
    • Handle: RePEc:ids:ijlsma:v:49:y:2024:i:4:p:486-528
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