Bell, SA and Percy, DF 
ORCID: https://orcid.org/0000-0002-2733-3855
2012,
'Modelling uncertainty in preventive maintenance scheduling'
, Quality and Reliability Engineering International, 28 (6)
, pp. 604-615.
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.
| Item Type: | Article |
|---|---|
| Themes: | Built and Human Environment |
| Schools: | Schools > Salford Business School > Salford Business School Research Centre |
| Journal or Publication Title: | Quality and Reliability Engineering International |
| Publisher: | Wiley |
| Refereed: | Yes |
| ISSN: | 0748-8017 |
| Related URLs: | |
| Funders: | Engineering and Physical Sciences Research Council (EPSRC) |
| Depositing User: | Professor D. F. Percy |
| Date Deposited: | 10 May 2012 13:19 |
| Last Modified: | 27 Aug 2021 20:04 |
| URI: | http://usir.salford.ac.uk/id/eprint/22615 |
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