@inproceedings{997c52dfb89845489aa37927231b6404,
title = "Prognostic-based Maintenance Optimization in Complex Systems with Resource Limitation Constraints",
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{\textquoteright}s availability. The Remaining Useful Life (RUL/prognostic information) of components is used to evaluate each component{\textquoteright}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.",
keywords = "Complex System, Optimization, Predictive Maintenance, Prognostic Information, Remaining Useful Life, Resource Limitation",
author = "Junkai He and Anjos, \{Miguel F.\} and Makhlouf Hadji and Selma Khebbache",
note = "Publisher Copyright: {\textcopyright} 2022 by SCITEPRESS–Science and Technology Publications, Lda.; 11th International Conference on Operations Research and Enterprise Systems, ICORES 2022 ; Conference date: 03-02-2022 Through 05-02-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.5220/0010829100003117",
language = "English",
isbn = "9789897585487",
series = "International Conference on Operations Research and Enterprise Systems",
publisher = "Science and Technology Publications, Lda",
pages = "169--176",
editor = "Federico Liberatore and Parlier, \{Greg H.\} and Marc Demange",
booktitle = "ICORES 2022 - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems",
}