Training and repair policies for stand-by systems
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).
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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.
|Digital Object Identifier (DOI):||doi:10.1007/s10479-012-1185-3|
|Keywords:||maintenance and repair, training action, Markov decision processes, stand-by equipment|
|Organisations:||Centre of Excellence for International Banking, Finance & Accounting|
|Date Deposited:||24 Sep 2012 15:10|
|Last Modified:||17 Apr 2017 16:36|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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