Please use this identifier to cite or link to this item:
|Title:||Condition-based maintenance using the inverse Gaussian degradation model|
|Authors:||Chen, Nan |
|Source:||Chen, Nan, Ye, Zhisheng, Xiang, Yisha, Zhang, Linmiao (2015-05-16). Condition-based maintenance using the inverse Gaussian degradation model. European Journal of Operational Research 243 (1) : 190-199. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ejor.2014.11.029|
|Abstract:||Condition-based maintenance has been proven effective in reducing unexpected failures with minimum operational costs. This study considers an optimal condition-based replacement policy with optimal inspection interval when the degradation conforms to an inverse Gaussian process with random effects. The random effects parameter is used to account for heterogeneities commonly observed among a product population. Its distribution is updated when more degradation observations are available. The observed degradation level together with the unit's age are used for the replacement decision. The structure of the optimal replacement policy is investigated in depth. We prove that the monotone control limit policy is optimal. We also provide numerical studies to validate our results and conduct sensitivity analysis of the model parameters on the optimal policy.|
|Source Title:||European Journal of Operational Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 14, 2018
WEB OF SCIENCETM
checked on Jan 24, 2018
checked on Feb 12, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.