Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

Authors

  • Rodrigo Barbosa de Santis Graduate Program in Computational Modeling, Federal University of Juiz de Fora http://orcid.org/0000-0001-8454-4512
  • Leonardo Golliat Department of Mechanic and Industrial Engineering, Federal University of Juiz de Fora
  • Eduardo Pestana de Aguiar Electrical Engineering Post-Graduation Program, Federal University of Juiz de Fora

DOI:

https://doi.org/10.14488/BJOPM.2017.v14.n3.a15

Keywords:

supplier selection, railway maintenance, multi-criteria decision making, analytic hierarchy process, fuzzy logic

Abstract

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

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Author Biographies

Rodrigo Barbosa de Santis, Graduate Program in Computational Modeling, Federal University of Juiz de Fora

R.B. de Santis, received the Bsc in Production Engineering in 2015 from the Federal University of Juiz de Fora (UFJF). He is currently enrolled in the Msc degree in Computational Modelling at UFJF. His research interests include: supply chain management, multi-criteria decision-making and computational intelligence techniques.

Leonardo Golliat, Department of Mechanic and Industrial Engineering, Federal University of Juiz de Fora

L. Goliatt, received the BSc in Civil Engineering from Federal University of Juiz de Fora (UFJF), Brazil, in 2003 and DSc in Computational Modeling from National Laboratory for Scientific Computing (LNCC), Brazil, in 2009. He is Professor in the Department of Computational and Applied Mechanics at UFJF and member of Post-Graduation Program of Computational Modeling at same university. His research interests involves Computational Intelligence, Machine Learning, Surrogate Modeling, Evolutionary Optimization and applications.

Eduardo Pestana de Aguiar, Electrical Engineering Post-Graduation Program, Federal University of Juiz de Fora

E.P. de Aguiar, received the BSc in Control and Automation Engineering from Federal University of Itajubá (UNIFEI), Brazil, in 2008 and MSc in Electrical Engineering from Federal University of Juiz de Fora (UFJF), Brazil, in 2011. He is currently working towards the PhD degree in Electrical Engineering at UFJF. He is Professor in the Department of Industrial and Mechanical Engineering at UFJF and Head of Pneumatic and Industrial Automation Laboratory. His research interests involves Computational Intelligence methods and applications, Digital Signal Processing, Control Theory and Adaptive Algorithms.

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Published

2017-09-06

How to Cite

Santis, R. B. de, Golliat, L., & Aguiar, E. P. de. (2017). Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator. Brazilian Journal of Operations & Production Management, 14(3), 428–437. https://doi.org/10.14488/BJOPM.2017.v14.n3.a15

Issue

Vol. 14 No. 3 (2017): September, 2017

Section

Articles

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