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Factory Location Decision Making Based on the FUZZY Inference Model

Authors
  • Alexandre Vieira de Oliveira

    Centro Universitário FAMETRO

    Author

  • David Barbosa de Alencar

    ITEGAM - Brasil

    Author

  • Alexandra Priscilla Tregue Costa

    FAMETRO – Brasil

    Author

  • Manoel Henrique Reis Nascimento

    ITEGAM – Brasil

    Author

  • Carlos Alberto Oliveira de Freitas

    Ufam - ICET – UFAM- Brasil

    Author

Keywords:
Array, Array, Array
Abstract

This paper introduces the concept of fuzzy logic, some terms used in this kind of logic, and uses it to evaluate and choose where to deploy factories and other enterprises. In addition, a model is made using the InFuzzy program to evaluate a choice of a location within the Manaus Industrial Pole - PIM, using objective and subjective criteria within the fuzzy logic. This article aims to present the fuzzy logic in the context of production engineering, select the parameters that define the best location, develop models that represent the subject in the study and verify the applicability by simulating other case studies and comparing results.

Author Biographies
  1. David Barbosa de Alencar, ITEGAM - Brasil

    Instituto de Tecnologia e Educação Galileo da Amazônia

  2. Alexandra Priscilla Tregue Costa, FAMETRO – Brasil

    Coordenação de Engenharia de Produção do Centro Universitário

  3. Manoel Henrique Reis Nascimento, ITEGAM – Brasil

    Instituto de Tecnologia e Educação Galileo da Amazônia

  4. Carlos Alberto Oliveira de Freitas, Ufam - ICET – UFAM- Brasil

    Instituto de Ciências Exatas e Tecnologia

References
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Published
2019-10-01
Section
Journal Articles
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Copyright (c) 2019 Alexandre Vieira de Oliveira, David Barbosa de Alencar, Alexandra Priscilla Tregue Costa, Manoel Henrique Reis Nascimento

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How to Cite

Vieira de Oliveira, A., Barbosa de Alencar, D., Tregue Costa, A. P., Reis Nascimento, M. H., & de Freitas, C. A. O. . (2019). Factory Location Decision Making Based on the FUZZY Inference Model. International Journal for Innovation Education and Research, 7(10), 968-978. https://doi.org/10.31686/ijier.vol7.iss10.1854