Optimal Repair Rate for a Repairable Machine with Nonlinear State Equation

Authors

  • Najeeb Al-Matar Al-Baha University, Saudi Arabia
  • Lotfi Tadj Alfaisal University Riyadh, Saudi Arabia

DOI:

https://doi.org/10.11113/mjfas.v18n3.2571

Keywords:

Machine breakdown, minor breakdown, major breakdown, repair, model predictive control

Abstract

This work deals with two models of a single machine subject to breakdowns. The first model is a binary-state model while the second one is a multi-state model. Breakdowns are followed by repairs. The systems under study are of the tracking type. We use nonlinear model predictive control to determine the optimal repair rates that keep the variables as close as possible to their target. Numerical illustrations with sensitivity analysis are used to assess the effect of the system parameters on the optimal solution.

References

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Published

04-08-2022

Issue

Vol. 18 No. 3 (2022): May - June

Section

Article

License

Copyright (c) 2022 Najeeb Al-Matar, Lotfi Tadj

Creative Commons License

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