Health-care Supplier Selection using Hybrid Multi-criteria Decision Making Methods : A Case Study from Morocco

Abstract

Abstract Several studies have been conducted in the context of selecting the best supplier. In literature, the supplier selection problem has been widely studied using different approaches. Multi Criteria decision making(MCDM) is one of the frequently exploited tools for achieving this study. Health-care sector represents a vital priority for decreasing risks. However, it is rarely treated by the research community. In this work, we present three hybrid multi-criteria methods (Analytic hierarchy process-technique for order preference by similarity to ideal solution) AHP-TOPSIS, ( Pythagorean fuzzy analytic hierarchy process-technique for order preference by similarity to ideal solution (PFAHP-TOPSIS) and Best worst method-technique for order preference by similarity to ideal solution(BWM-TOPSIS)) for making the efficient health-care supplier selection.This study is mainly composed of two stages: the first one consists of calculating of the weight priority of each criterion and sub-criterion using AHP, BWM, and PFAHP methods, while the second stage aims to integrate the weights priorities for making the ranking of the alternatives using TOPSIS method. Moreover, we present the sensitivity analysis for the three integrated tools to evaluate the ranking of suppliers under the variation of the weights of criteria. This study was conducted in a public hospital from Marrakech city