Modelling uncertainty in preventive maintenance scheduling

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.

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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:	Publication
Funders:	Engineering and Physical Sciences Research Council (EPSRC)
Depositing User:	Professor D. F. Percy
Date Deposited:	10 May 2012 13:19
Last Modified:	14 Nov 2018 12:10
URI:	http://usir.salford.ac.uk/id/eprint/22615

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