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 Operational 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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1007/s10479-012-1185-3
ISSNs: 0254-5330 (print)
1572-9338 (electronic)
Keywords: maintenance and repair, training action, Markov decision processes, stand-by equipment
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HF Commerce
Q Science > QA Mathematics
Divisions : Faculty of Business and Law > Southampton Business School > Centre of Excellence for International Banking, Finance & Accounting
ePrint ID: 343118
Accepted Date and Publication Date:
September 2012In press
Date Deposited: 24 Sep 2012 15:10
Last Modified: 31 Mar 2016 14:34

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