Predictive Maintenance Optimization Under Stochastic Production in Complex Systems

Junkai He, Selma Khebbache, Miguel F. Anjos, Makhlouf Hadji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper focuses on predictive maintenance optimization under stochastic production in complex systems using prognostic Remaining Useful Life (RUL) information. At each stage of such a system, we consider redundant assets and use their RUL to guarantee system availability. However, the production capacity of our system is stochastic due to environmental and human factors. We aim at meeting client demands in a given optimization planning horizon while reducing the generated cost. We propose a deterministic mathematical model before providing a chance-constrained programming formulation to minimize the total cost. Two solution approaches for dealing with chance constraints are proposed to approximate the stochastic model in this maintenance optimization. Experimental results show the efficiency of the proposed model and chance-constrained approximation approaches.

Original languageEnglish
Title of host publicationOperations Research and Enterprise Systems - 11th International Conference, ICORES 2022, and 12th International Conference, ICORES 2023, Revised Selected Papers
EditorsFederico Liberatore, Slawo Wesolkowski, Marc Demange, Greg H. Parlier
PublisherSpringer Science and Business Media Deutschland GmbH
Pages47-68
Number of pages22
ISBN (Print)9783031496615
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes
Event11th and 12th International Conferences on Operations Research and Enterprise Systems, ICORES 2022 and 2023 - Lisbon, Portugal
Duration: 19 Feb 202321 Feb 2023

Publication series

NameCommunications in Computer and Information Science
Volume1985 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference11th and 12th International Conferences on Operations Research and Enterprise Systems, ICORES 2022 and 2023
Country/TerritoryPortugal
CityLisbon
Period19/02/2321/02/23

Keywords

  • Chance constraints
  • Complex systems
  • Predictive maintenance
  • Remaining useful life
  • Stochastic optimization

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