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Lookup NU author(s): Dr Phil Ansell
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A collection of M machines which deteriorate under usage is maintained by a set of R repairmen who may have other tasks to perform. Maintenance interventions will improve a machine's condition and may preempt costly breakdowns. The problem of scheduling such interventions to minimise the total expected discounted cost incurred in operating the machines over an infinite horizon is formulated as a Markov Decision Process which has the form of a restless bandit problem. We outline an approach to the development of maintenance policies based on simple machine indices in the form of a fair charge for a maintenance intervention in the machine's current state. Closed form indices are derived for two particular models. Numerical investigations demonstrate the strong performance of the derived index heuristics. © 2004 Elsevier B.V. All rights reserved.
Author(s): Glazebrook KD, Mitchell HM, Ansell PS
Publication type: Article
Publication status: Published
Journal: European Journal of Operational Research
Year: 2005
Volume: 165
Issue: 1
Pages: 267-284
Print publication date: 16/08/2005
ISSN (print): 0377-2217
ISSN (electronic): 1872-6860
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.ejor.2004.01.036
DOI: 10.1016/j.ejor.2004.01.036
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