Multicriteria Decision Making for the Selection of Agri-food Service Providers

Abstract

The agriculture sector in Morocco has become a necessity, given the intensification of global competition and the openness of markets to new regulations and requirements. In this regard, we want to put forward the guidelines for the successful agricultural outsourcing strategy in Morocco. The existence of high-performance and potential stakeholders called Agriculture Service Providers (ASP) to meet the specific contractors’ demands is crucial to the strategy’s success. Due to the multitude of MultiCriteria Decision Making Methods (MCDM), decision makers are faced with the challenge of selecting the most appropriate MCDM method, as each of these methods has its own limitations, specifities, and can yield different results when applied to a different problem. The study carried out is a comparative approach between a variety of multi-criteria decision making methods (MCDM) :AHP, TOPSIS, VIKOR and PROMETHEE II using fuzzy logic. A MCDM selection process aims to highlight the advantages and limitations of each method for evaluating the quality of the solution generated. We accomplished this by using assessing’s indicators. Finally, a sensitivity study was conducted to examine the robustness.