A Hybrid Group-MCDM Framework for Supplier Selection Problem in Organ Transplantation Networks under an Interval-Valued Fuzzy Environment

Document Type : Research Paper

Authors

Department of Industrial Engineering, Shahed University

Abstract

Selecting appropriate suppliers in organ transplant affiliation networks is of critical importance due to its direct impact on service quality and increased life expectancy. This process is recognized as a complex group-multiple criteria decision-making (G-MCDM) problem, involving the evaluation of multiple supplier alternatives based on key organ transplantation criteria. In this study, a new integrated model is proposed by combining the Borda and CoCoSo methods using Interval-Valued Fuzzy Sets (IVFSs) within a group decision-making environment. Leveraging the enhanced capabilities of fuzzy theory, the proposed method effectively addresses the inherent uncertainties present in real-world applications. The weights of the criteria are determined using an interval-valued fuzzy Shannon entropy (IVF-Shannon entropy) method, incorporating expert judgments. Subsequently, the hybrid Borda-CoCoSo approach is employed to rank supplier alternatives for organ transplant equipment within affiliation networks. An application example is presented to assess the performance of the proposed model, and both comparative and sensitivity analyses are conducted to investigate the influence of key parameters on the results. In addition, a comparative evaluation is performed with three existing methods from the literature. The results highlight the accuracy and efficiency of the proposed model in supplier selection and in improving decision-making within the organ transplant supply chain.

Keywords

Journal of Quality Engineering and Production Optimization
Volume 9, Issue 2
December 2024

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