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Modelling uncertainty in preventive maintenance scheduling

Bell, SA and Percy, DF 2012, 'Modelling uncertainty in preventive maintenance scheduling' , Quality and Reliability Engineering International, 28 (6) , pp. 604-615. (In Press)

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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: Colleges and Schools > College of Business & Law
Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
Colleges and Schools > College of Business & Law > Salford Business School
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 David F. Percy
Date Deposited: 10 May 2012 14:19
Last Modified: 20 Jan 2014 20:52
URI: http://usir.salford.ac.uk/id/eprint/22615

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