An age-based dynamic opportunistic maintenance framework under iteratively updated group information

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

Abstract

A cost-optimal intelligent maintenance optimization approach for multi-unit device based on iteratively updated group information is investigated. Unlike previous studies that ignore maintenance opportunities from component failure or preventive intervention, this study innovatively establishes a united preventive-opportunistic group maintenance model that is able to capture both opportunities. The framework inherits the advantages of quick-responding, adaptive replacement decision-makings, which transfers long-term maintenance schedule into a combination of multiple short-term maintenance grouping, which significantly enhances the operational availability and profitability. Numerical experiments demonstrate the effectiveness of the proposed model and algorithm.

Original languageEnglish
Title of host publication28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023
PublisherInternational Society of Science and Applied Technologies
Pages295-299
Number of pages5
ISBN (Electronic)9798986576121
StatePublished - 2023
Event28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023 - San Francisco, United States
Duration: 3 Aug 20235 Aug 2023

Publication series

Name28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023

Conference

Conference28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023
Country/TerritoryUnited States
CitySan Francisco
Period3/08/235/08/23

Keywords

  • Dynamic maintenance
  • Maintenance grouping
  • Multi-unit system
  • Opportunistic maintenance

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