Selective Maintenance for Failure-prone Multi-state Systems When the Durations of Missions and Scheduled Breaks Are Stochastic

A. Khatab, E. H. Aghezzaf

2016

Abstract

This paper addresses the selective maintenance optimization problem for a multi-component and multi-state system (MSS). The system performs several missions with breaks between each two consecutive missions. At the end of a mission, the reliability of the system is defined as the probability that the system satisfies the required demand level during the next mission. This probability is evaluated using the z-transform method. To improve the system’s reliability, its components are maintained during breaks. To each component, a list of maintenance actions is available from minimal repair to overhaul through imperfect maintenance actions. Durations of missions and breaks are considered not constant but rather stochastic. These durations are therefore modeled as random variables with appropriate probability distributions. The selective maintenance optimization problem proposed is modeled as a non-linear and stochastic program. The fundamental constructs and the relevant parameters of this decision-making problem are solely investigated and discussed. An illustrative example is provided to demonstrate the added value of solving this selective maintenance problem as a stochastic optimization program.

Paper Citation

in Harvard Style

Khatab A. and Aghezzaf E. (2016). Selective Maintenance for Failure-prone Multi-state Systems When the Durations of Missions and Scheduled Breaks Are Stochastic.In Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-171-7, pages 210-217. DOI: 10.5220/0005823802100217

in Bibtex Style

@conference{icores16,
author={A. Khatab and E. H. Aghezzaf},
title={Selective Maintenance for Failure-prone Multi-state Systems When the Durations of Missions and Scheduled Breaks Are Stochastic},
booktitle={Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2016},
pages={210-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005823802100217},
isbn={978-989-758-171-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Selective Maintenance for Failure-prone Multi-state Systems When the Durations of Missions and Scheduled Breaks Are Stochastic
SN - 978-989-758-171-7
AU - Khatab A.
AU - Aghezzaf E.
PY - 2016
SP - 210
EP - 217
DO - 10.5220/0005823802100217