2009
DOI: 10.1016/j.ejor.2007.10.037
|View full text |Cite
|
Sign up to set email alerts
|

Optimal burn-in for maximizing reliability of repairable non-series systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
10
0
2

Year Published

2010
2010
2024
2024

Publication Types

Select...
6
2
1

Relationship

0
9

Authors

Journals

citations
Cited by 31 publications
(13 citation statements)
references
References 27 publications
(31 reference statements)
0
10
0
2
Order By: Relevance
“…Cha et al [9] determine an upper bound for optimal burn-in time of a warranted product with two types of minor and catastrophic failures. Kim and Kuo [10] determine the optimal burn-in time for repairable non-series systems to maximize reliability. Kwon et al [11] determine the optimal burn-in time and replacement policy for a product with bathtub shaped failure rate.…”
Section: Introductionmentioning
confidence: 99%
“…Cha et al [9] determine an upper bound for optimal burn-in time of a warranted product with two types of minor and catastrophic failures. Kim and Kuo [10] determine the optimal burn-in time for repairable non-series systems to maximize reliability. Kwon et al [11] determine the optimal burn-in time and replacement policy for a product with bathtub shaped failure rate.…”
Section: Introductionmentioning
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
“…Kim and Kuo (2009)), various cost structures have been proposed, and the corresponding problem of finding the optimal burn-in time has been considered (see, e.g. The best (usually in terms of costs involved) time to stop the burn-in process for a given criterion is called the optimal burn-in time.…”
Section: Introductionmentioning
confidence: 99%