A two-stage preventive maintenance policy for a multi-state deterioration system
Chun-Chen Huang and
John Yuan
Reliability Engineering and System Safety, 2010, vol. 95, issue 11, 1255-1260
Abstract:
This paper is to propose a two-stage preventive maintenance (PM) policy for the multi-state deterioration system under periodic inspection and with multiple candidate actions for PM. Such policy is mainly to schedule PM optimally and also on how to choose the action optimally for each PM. The scheduling includes two tasks: to determine after completing each PM when to make the decision and then at it to schedule the next PM optimally. We assume that: (1) such actions except replacement are imperfect, (2) the inspection and action times can be ignored, (3) the system can be modeled by a multi-state discrete time Markov chain whose transition probabilities will change and be updated only at the instant after completing each PM, and (4) the risks of such imperfect actions will be updated only at the instant after completing each PM. Finally, an example through simulation is presented to illustrate how such policy can be carried out.
Keywords: PM policy; Imperfect maintenance; Multiple actions; Time and state dependent (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S095183201000164X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:11:p:1255-1260
DOI: 10.1016/j.ress.2010.07.001
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().