Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ejor.2014.11.029
Title: Condition-based maintenance using the inverse Gaussian degradation model
Authors: Chen, Nan 
Ye, Zhisheng 
Xiang, Yisha
Zhang, Linmiao
Issue Date: 16-May-2015
Publisher: Elsevier
Citation: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/118650
ISSN: 03772217
DOI: 10.1016/j.ejor.2014.11.029
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