2009
DOI: 10.1016/j.ejor.2007.12.012
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A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure

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Cited by 142 publications
(58 citation statements)
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“…For an overview of this stream, including a review of diagnostics and prognostics techniques, see Jardine et al (2006). Within this stream, also the reducing effect of condition based maintenance on spare parts supply costs has been studied; see Elwany and Gebraeel (2008), Wang et al (2008Wang et al ( , 2009, and Rausch and Liao (2010). As already stated, we distinguish ourselves from the latter studies by considering the effect of conditioning monitoring on spare parts supply without changing the maintenance policy.…”
Section: Related Literaturementioning
confidence: 99%
“…For an overview of this stream, including a review of diagnostics and prognostics techniques, see Jardine et al (2006). Within this stream, also the reducing effect of condition based maintenance on spare parts supply costs has been studied; see Elwany and Gebraeel (2008), Wang et al (2008Wang et al ( , 2009, and Rausch and Liao (2010). As already stated, we distinguish ourselves from the latter studies by considering the effect of conditioning monitoring on spare parts supply without changing the maintenance policy.…”
Section: Related Literaturementioning
confidence: 99%
“…Reactive maintenance times for each chamber (min) [100,110,120,90,100] Rewards ($) Figure 6. Operation-dependent transition probability matrices and maintenance transition probability matrix…”
Section: Resultsmentioning
confidence: 99%
“…A 5% reduction in total annual cost and increase in throughput was obtained by their GA based approach. Wang et al [90] use GA in a similar problem where condition based maintenance is involved instead of periodic preventive maintenance. Another work on the application of GA on joint planning of maintenance and production is presented by Machani and Nourelafath [91].…”
Section: Metaheuristic Approachesmentioning
confidence: 99%
“…A previsão de vida útil de ativos é crucial para redução de custos e aumento de produtividade nas companhias, já que sua acurácia conduz a melhores planos de manutenção, previsão de sobressalentes, eficiência operacional e auxilia na tomada de decisão (JARDINE et al, 2006;ZHANG, 2008;KUO, 2009;L. WANG et al, 2009;CAMCI;CHINNAM, 2010;SI et al, 2011).…”
Section: Introductionunclassified