Adaptive Opportunistic Maintenance for Multi-unit Systems Subject to Stochastic Degradation

Zhicheng Zhu, Yisha Xiang, Tongdan Jin, Mingyang Li

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

1 Scopus citations

Abstract

For a multi-unit system subject to stochastic degradation failure, the maintenance performed on any component usually incurs a common system setup cost, regardless of the number of components being maintained. Therefore, whenever a component undergoes the maintenance, there is an opportunity to conduct preventive maintenance (PM) on other components even though their degradation does not exceed their own PM thresholds. Thus, simultaneously conducting PM on multiple components can pontential reduce total setup costs, realizing maintenance saving over a long run. Though multi-component maintenance planning has received much attentions in the past decades, most decision models are built upon individual components, such as block-based maintenance and periodic inspection/replacement policy. In this paper, we propose an opportunistic maintenance policy that adaptively adjusts the inspection interval, and the thresholds of PM and opportunistic maintenance based on the degradation of all components. A simulation model is developed to minimize the long-run cost rate by considering the costs associated with inspection, setup, and maintenance actions. Finally, the numerical examples are provided to demonstrate how to optimize the opportunistic maintenance threshold under different setup cost, PM overhead, and reliability parameters.

Original languageEnglish
Title of host publication2018 Annual Reliability and Maintainability Symposium, RAMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538628706
DOIs
StatePublished - Sep 11 2018
Event2018 Annual Reliability and Maintainability Symposium, RAMS 2018 - Reno, United States
Duration: Jan 22 2018Jan 25 2018

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
Volume2018-January
ISSN (Print)0149-144X

Conference

Conference2018 Annual Reliability and Maintainability Symposium, RAMS 2018
CountryUnited States
CityReno
Period01/22/1801/25/18

Keywords

  • Gamma process
  • opportunistic maintenance
  • simulation
  • stochastic degradation

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