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Training and repair policies for stand-by systems

Record type: Article

This research is concerned with developing repair and training strategies for stand-by equipment which maximise the time until the equipment is unable to respond when it is needed. Equipment can only be used if it is in an operable state and the users have had sufficient recent training on it. Thus it is necessary to decide when to maintain/repair the equipment and when to use the equipment for training. Both actions mean the equipment is not readily available for use in an emergency. We develop discrete time Markov decision process formulations of this problem in order to investigate the form of the optimal policies which maximise the expected survival time until a catastrophic event when an emergency occurs and the equipment cannot respond. We also calculate the solution in a number of numerical examples.

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Citation

Thomas, Lyn C. and Kim, Y.H. (2012) Training and repair policies for stand-by systems Annals of Operations Research (doi:10.1007/s10479-012-1185-3).

More information

Accepted/In Press date: September 2012
Keywords: maintenance and repair, training action, Markov decision processes, stand-by equipment
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 343118
URI: http://eprints.soton.ac.uk/id/eprint/343118
PURE UUID: edacc0e2-c5dd-4799-acc7-10daa5c23cc3

Catalogue record

Date deposited: 24 Sep 2012 15:10
Last modified: 18 Jul 2017 05:24

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Contributors

Author: Lyn C. Thomas
Author: Y.H. Kim

University divisions


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