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Repair strategies in an uncertain environment: Markov decision process approach

Repair strategies in an uncertain environment: Markov decision process approach
Repair strategies in an uncertain environment: Markov decision process approach
This paper deals with repair strategies that maximize the time until a catastrophic event, that is, when there is a vital need for equipment, and the equipment fails to function. We examine the case where the need for the equipment varies over time according to a Markov chain. This means that the environment can be in different states, each with their own probability of the initiating event occurring. We model the form of the optimal policy for repair under this uncertain environment by Markov decision processes.Journal of the Operational Research Society (2006) 57, 957-964.
0160-5682
957-964
Kim, Y-H.
275c540d-f2e1-4c9a-9e38-a0eb9fe01bd7
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362
Kim, Y-H.
275c540d-f2e1-4c9a-9e38-a0eb9fe01bd7
Thomas, Lyn C.
a3ce3068-328b-4bce-889f-965b0b9d2362

Kim, Y-H. and Thomas, Lyn C. (2006) Repair strategies in an uncertain environment: Markov decision process approach. Journal of the Operational Research Society, 57 (8), 957-964. (doi:10.1057/palgrave.jors.2602048).

Record type: Article

Abstract

This paper deals with repair strategies that maximize the time until a catastrophic event, that is, when there is a vital need for equipment, and the equipment fails to function. We examine the case where the need for the equipment varies over time according to a Markov chain. This means that the environment can be in different states, each with their own probability of the initiating event occurring. We model the form of the optimal policy for repair under this uncertain environment by Markov decision processes.Journal of the Operational Research Society (2006) 57, 957-964.

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More information

Published date: 2006
Additional Information: Theoretical paper

Identifiers

Local EPrints ID: 35840
URI: http://eprints.soton.ac.uk/id/eprint/35840
ISSN: 0160-5682
PURE UUID: 81313573-e6dd-495e-af8f-804db2e36b5a

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Date deposited: 15 Jan 2007
Last modified: 15 Mar 2024 07:54

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Contributors

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

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