Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 266, Issue 3, Pages 963-975Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2017.10.055
Keywords
Maintenance; Age replacement policy; Periodic replacement policy; Delta-method; Lifetime parameters estimation
Funding
- French National Agency of Research (ANR), Project AMMSI [ANR-2011-BS01-021]
Ask authors/readers for more resources
This paper analyzes three time-based replacement policies when the parameters of the time-to-failure distribution are unknown. Under the hypothesis of a large sample data, the unknown parameters are estimated via maximum likelihood method. The uncertainty around the point estimates impacts the maintenance decision rules. Based on the asymptotic normality of the parameter estimators and delta-method, the asymptotic distribution of the optimal decision parameter and the average cost is derived. This distribution permits to measure the uncertainty around the optimal maintenance decision rule induced by the point estimates. The sensitivity analysis of the replacement policies to the maintenance unit costs and lifetime distribution parameters is carried out. Application to two time-to-failure distributions is provided. (C) 2017 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available