A comparative study between hesitant Fuzzy TOPSIS methods in the context of supplier selection

Authors

DOI:

https://doi.org/10.5585/2023.23218

Keywords:

Supplier selection, Multicriteria decision making methods, Hesitant Fuzzy TOPSIS

Abstract

One of the ways to deal with the supplier selection process is the use of multicriteria decision-making methods. Among these, the Hesitant Fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) stands out for being an emerging method capable of supporting decision-making processes in situations of uncertainty and hesitancy. This study presents a comparison between two versions of this method applied in supplier selection and subsequent analysis of their characteristics, identifying advantages of use, differences and limitations. The application considered five alternatives, four criteria and two decision makers. The results show similarities between the supplier rankings produced by them and indicate that they are capable of supporting group decision problems, although they do not allow different weights to be assigned to the decision makers. The results of this study can be used to assist researchers and managers in choosing a decision method appropriate to their needs.

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Author Biographies

Igor Mansur Beleski, Universidade Tecnológica Federal do Paraná

É graduado em Administração pela Universidade Tecnológica Federal do Paraná (UTFPR). É discente de mestrado no Programa de Pós-Graduação em Administração (PPGA - UTFPR).

Francisco Rodrigues Lima Junior, Universidade Tecnológica Federal do Paraná

É graduado em Engenharia de Produção com ênfase em Software pela Universidade Estadual de Maringá-PR (UEM), mestre e doutor em Engenharia de Produção pela Universidade de São Paulo-SP (USP). Foi professor e coordenador do curso de Engenharia de Produção e Qualidade do Centro Universitário da Fundação Educacional Guaxupé-MG (UNIFEG). Atualmente é professor adjunto do Departamento de Gestão e Economia e professor permanente do Programa de Pós-graduação em Administração da Universidade Tecnológica Federal do Paraná (UTFPR). É coordenador do grupo de pesquisa Tomada de Decisão em Gestão de Operações, registrado no CNPQ. Possui experiência nas áreas de gestão da produção e qualidade, gestão de fornecimento, gestão de projetos, modelagem de processos, tomada de decisão multicritério e sistemas inteligentes. Pesquisa o uso de métodos de decisão multicritério e de inteligência artificial no apoio a problemas da área de gestão de operações.

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Published

2023-03-08

How to Cite

Mansur Beleski, I., & Rodrigues Lima Junior, F. (2023). A comparative study between hesitant Fuzzy TOPSIS methods in the context of supplier selection. Exacta. https://doi.org/10.5585/2023.23218