Modelling uncertainty in preventive maintenance scheduling

Bell, SA; Percy, DF

Abstract

In this article we consider the practical implementation of Bayesian methodology in determining the optimal preventive maintenance (PM) interval for a complex repairable system.
The behaviour of this system is described using a probabilistic model based on the failure intensity pattern. This model includes a number of unknown parameters and a Bayesian approach is established to provide information about the joint posterior distribution of these parameters. This posterior information is then incorporated into previously established PM interval scheduling methodology to determine optimal PM intervals within a decision-theoretic framework.

Citation

Bell, S., & Percy, D. (2012). Modelling uncertainty in preventive maintenance scheduling. Quality and Reliability Engineering International, 28(6), 604-615. https://doi.org/10.1002/qre.1409

• Journal Article Type: Article
• Acceptance Date: Feb 28, 2012
• Online Publication Date: May 10, 2012
• Publication Date: May 10, 2012
• Deposit Date: May 10, 2012
• Journal: Quality and Reliability Engineering International
• Print ISSN: 0748-8017
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 28
• Issue: 6
• Pages: 604-615
• DOI: https://doi.org/10.1002/qre.1409
• Publisher URL: http://dx.doi.org/10.1002/qre.1409
• Related Public URLs: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1099-1638
• Additional Information: Funders : Engineering and Physical Sciences Research Council (EPSRC)