Selective maintenance scheduling over a finite planning horizon

Mayank Pandey, Ming J. Zuo, Ramin Moghaddass

Research output: Contribution to journalArticle

26 Scopus citations

Abstract

A preventive maintenance scheduling model is proposed in this article. The proposed model includes finite planning horizon and limited available resources to perform maintenance scheduling. A subset of maintenance actions, that is, selective maintenance is needed during maintenance breaks due to limited resources such as time, cost, and repairman availability. Maintenance can not only improve the effective age of a component but also may alter the hazard rate. Therefore, a hybrid imperfect maintenance model is used in this article that considers the combined effect of age reduction and hazard adjustment on a component. For a multi-component system, selective maintenance is performed at periodic intervals. In addition to maintenance and failure costs, we have included the maintenance break duration and the shutdown cost in the proposed scheduling model. A periodic maintenance scheduling problem is solved in this article for a series-parallel system. The optimal number of periodic maintenance breaks in a finite planning horizon is determined. Also, maintenance actions required during each of the maintenance breaks are determined. The number of periodic maintenance breaks and maintenance actions during these breaks is selected in a way that the total maintenance, failure, and shutdown cost are minimum. An evolutionary algorithm is used to solve the problem.

Original languageEnglish (US)
Pages (from-to)162-177
Number of pages16
JournalProceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
Volume230
Issue number2
DOIs
StatePublished - 2015
Externally publishedYes

Keywords

  • evolutionary algorithm
  • imperfect maintenance
  • periodic scheduling
  • Preventive maintenance
  • selective maintenance

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

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