Prognostic-based Maintenance Optimization in Complex Systems with Resource Limitation Constraints

Junkai He, Miguel Anjos, Makhlouf Hadji, Selma Khebbache

2022

Abstract

This paper is concerned with prognostic information for maintenance optimization in complex systems. At each stage of such a system, we consider redundant components used as backup to guarantee the system’s availability. The Remaining Useful Life (RUL/prognostic information) of components is used to evaluate each component’s redundancy. We address RUL-based maintenance optimization under resource limitation to ensure the availability of the system such that production demands can be satisfied in a given maintenance planning horizon. We propose a mixed-integer linear programming approach to minimize the overall cost. Our numerical results on test instances show the efficiency of the proposed approach to attain optimal solutions.

Paper Citation

in Harvard Style

He J., Anjos M., Hadji M. and Khebbache S. (2022). Prognostic-based Maintenance Optimization in Complex Systems with Resource Limitation Constraints. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-548-7, pages 169-176. DOI: 10.5220/0010829100003117

in Bibtex Style

@conference{icores22,
author={Junkai He and Miguel Anjos and Makhlouf Hadji and Selma Khebbache},
title={Prognostic-based Maintenance Optimization in Complex Systems with Resource Limitation Constraints},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2022},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010829100003117},
isbn={978-989-758-548-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Prognostic-based Maintenance Optimization in Complex Systems with Resource Limitation Constraints
SN - 978-989-758-548-7
AU - He J.
AU - Anjos M.
AU - Hadji M.
AU - Khebbache S.
PY - 2022
SP - 169
EP - 176
DO - 10.5220/0010829100003117