Multicriteria Decision-Making System for Supplier Selection Considering Risk: A Computational Fuzzy AHP-Based Approach

Authors

Keywords:

Multicriteria decision-making , Supplier selection, Matlab programming , Fuzzy AHP

Abstract

In the latest years, supply chain academics and practitioners have been increasingly concerned with the supplier selection problem. In this paper, a computational system based on 'Fuzzy Extended Analytic Hierarchy Process (Fuzzy AHP)' was developed for supplier selection considering risks. Specifically, we aimed to assess the use of the Fuzzy AHP method in supplier selection and to analyze the support of the proposed system to supplier selection considering risks through a practical application in the Brazilian oil industry. For this, the main criteria, sub-criteria, and alternatives for supplier selection were identified and comparatively assessed by expert managers from the focal company. Through the Fuzzy AHP computational approach the priority weights of each item were calculated. After computing the final score for each supply alternative, supplier

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Author Biographies

Marcus Vinicius Carvalho Fagundes, State University of Southwest Bahia

He holds a PhD in Industrial Engineering (2021) and is a professor at the State University of Southwest Bahia, Brazil. He has experience in the areas of production management, operations engineering, and information systems. He researches supply chain risk management, multicriteria decision-making models, artificial intelligence, and energy systems.

Átila Cheles Keler, State University of Southwest Bahia

He is a Master's degree student in Physics at the State University of Southwest Bahia, Brazil. He holds degrees in Production Engineering (2017), Physics (2019), and Computer Engineering (2020). He has experience in the areas of systems engineering and artificial intelligence.

Eduardo Oliveira Teles, Federal Institute of Bahia

He holds a PhD in Industrial Engineering (2016) and is a professor at the Federal Institute of Bahia, Brazil. He has experience in innovation, decision modeling, and assistive technologies. He is a professor of the Master in Intellectual Property and Technology Transfer for Innovation (IFBA).

Silvio Alexandre B. Vieira de Melo, Federal University of Bahia

He holds a PhD in Chemical Engineering (1997) and is a professor at the Federal University of Bahia, Brazil. He has experience in the areas of chemical engineering, reliability engineering, and risk analysis. He is a professor of the Graduate Program in Industrial Engineering and of the Doctorate in Energy and Environment (UFBA).

Francisco Gaudêncio Mendonça Freires, Federal University of Bahia

He holds a PhD in Industrial Engineering and Management (2007) and is a professor at the Federal University of Bahia, Brazil. He has experience in the areas of production engineering, operations management, and logistics. He is a professor at the Graduate Program in Industrial Engineering (UFBA).

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Published

2021-03-29

How to Cite

Carvalho Fagundes, M. V., Cheles Keler, Átila, Oliveira Teles, E., Vieira de Melo, S. A. B., & Mendonça Freires, F. G. (2021). Multicriteria Decision-Making System for Supplier Selection Considering Risk: A Computational Fuzzy AHP-Based Approach. IEEE Latin America Transactions, 19(9), 1564–1572. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/5030

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Vol. 19 No. 9 (2021): Ordinary Issue

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Articles