Journal article
Optimal variability sensitive condition-based maintenance with a Cox PH model
International journal of production research, Vol.49(7), pp.2083-2100
04/01/2011
DOI: 10.1080/00207541003694811
Abstract
Condition based maintenance (CBM) is an important maintenance strategy in practice. In this paper, we propose a CBM method to effectively incorporate system health observations into maintenance decision making to minimise the total maintenance cost and cost variability. In this method, the system degradation process is described by a Cox PH model and the proposed framework includes simulation of failure process and maintenance policy optimisation using adaptive nested partition with sequential selection (ANP-SS) method, which can adaptively select or create the most promising region of candidates to improve the efficiency. Different from existing CBM strategies, the proposed method relaxes some restrictions on the system degradation model and taking the cost variation as one of the optimisation objectives. A real industry case study is used to demonstrate the effectiveness of our framework.
Details
- Title: Subtitle
- Optimal variability sensitive condition-based maintenance with a Cox PH model
- Creators
- Nan Chen - Department of Industrial and Systems Engineering , University of Wisconsin-MadisonYong Chen - Department of Mechanical and Industrial Engineering , University of IowaZhiguo Li - Xerox R&D CenterShiyu Zhou - Department of Industrial and Systems Engineering , University of Wisconsin-MadisonCris Sievenpiper - GE Healthcare
- Resource Type
- Journal article
- Publication Details
- International journal of production research, Vol.49(7), pp.2083-2100
- Publisher
- Taylor & Francis Group
- DOI
- 10.1080/00207541003694811
- ISSN
- 0020-7543
- eISSN
- 1366-588X
- Language
- English
- Date published
- 04/01/2011
- Academic Unit
- Industrial and Systems Engineering
- Record Identifier
- 9984064213902771
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