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Simulation Approach for Optimal Maintenance Intervals Estimation of Electronic Devices

  • Alexander LyubchenkoEmail author
  • Pedro A. Castillo
  • Antonio M. Mora
  • Pablo García-Sánchez
  • Maribel G. Arenas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 466)

Abstract

Simulation is a powerful and flexible technique for imitation of variety of stochastic processes and it has attractive advantages in comparison to analytical routine solutions. In this paper, the Monte Carlo simulation technique is used for imitation of operational process of electronic devices which is formalized by the model of Semi Markov process. The model considers sudden, gradual, latent and fictitious failures, human factor of service staff and time parameters of preventive maintenance. Simulation approach permits to obtain necessary data for estimation of recommended value of maintenance interval according to suggested optimality criterion. Moreover, it could be easily used for investigation and analyzing of the process with different combinations of input parameters.

Keywords

Preventive maintenance (PM) Optimization Simulation Monte carlo Semi markov process 

Notes

Acknowledgments

This work has been supported in part by projects ERANET-Plus (European Commission), TIN2014-56494-C4-3-P (Spanish Ministry of Economy and Competitiveness), PROY-PP2015-06 (Plan Propio 2015 UGR), and UMNIK Program (Russian Foundation for Assistance to Small Innovative Enterprises in Science and Technology).

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© Springer International Publishing Switzerland 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Alexander Lyubchenko
    • 1
    Email author
  • Pedro A. Castillo
    • 2
  • Antonio M. Mora
    • 2
  • Pablo García-Sánchez
    • 2
  • Maribel G. Arenas
    • 2
  1. 1.Omsk State Transport UniversityOmskRussia
  2. 2.University of GranadaGranadaSpain

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