International Journal of Industrial Engineering and Management

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Vol. 11 No. 2 (2020)
Original Research Article

OMCTA: A Novel Knowledge-Based Technique To Evaluate the Influence of O&M Actions on Maintenance Management

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  • Carlos Alberto Murad,
  • Arthur Henrique de Andrade Melani,
  • Miguel Angelo de Carvalho Michalski,
  • Adherbal Caminada Netto,
  • Gilberto Francisco Martha de Souza,
  • Silvio Ikuyo Nabeta
Carlos Alberto Murad
Department of Mechatronics and Mechanical Systems, University of São Paulo
Bio
Arthur Henrique de Andrade Melani
Department of Mechatronics and Mechanical Systems, University of São Paulo
Bio
Miguel Angelo de Carvalho Michalski
Department of Mechatronics and Mechanical Systems, University of São Paulo
Bio
Adherbal Caminada Netto
Department of Mechatronics and Mechanical Systems, University of São Paulo
Bio
Gilberto Francisco Martha de Souza
Department of Mechatronics and Mechanical Systems, University of São Paulo
Bio
Silvio Ikuyo Nabeta
Department of Energy and Electrical Automation, University of São Paulo
Bio
DOI: https://doi.org/10.24867/IJIEM-2020-2-255

Published 2020-06-30

abstract views: 28 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Critical Systems,
  • Equipment O&M,
  • Maintenance Management,
  • Expert Knowledge-Based Techniques

How to Cite

Murad, C. A., Melani, A. H. de A., Michalski, M. A. de C., Netto, A. C., Souza, G. F. M. de, & Nabeta, S. I. (2020). OMCTA: A Novel Knowledge-Based Technique To Evaluate the Influence of O&M Actions on Maintenance Management. International Journal of Industrial Engineering and Management, 11(2), 81–92. https://doi.org/10.24867/IJIEM-2020-2-255

Copyright (c) 2023 International Journal of Industrial Engineering and Management

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Human error is a major cause of unavailability of industrial equipment. Consequently, several approaches attempt to assess how this issue influences maintenance management. However, these techniques are generally limited, not distinguishing between O&M actions. In this way, this work presents a new method, named OMCTA, based on techniques already known and widespread both in academia and industry. By structuring the expert knowledge, the method separately quantifies the likelihood of O&M actions causing failures. A case study is analyzed, bringing results that clearly show the effects of the O&M actions for different Kaplan turbine failure modes.

 

Article history: Received (September 25, 2019); Revised (March 10, 2020); Accepted (March 24, 2020); Published online (April 14, 2020)  

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