Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6896216 | European Journal of Operational Research | 2016 | 37 Pages |
Abstract
A preventive maintenance policy that considers information provided by observing the failure history of a repairable system is proposed. For a system that is to be operated for a long time, it is shown that the proposed policy will have a lower expected cost than a periodical one which does not take into account the failure history. Statistical inference using both maximum likelihood point estimates and bootstrap confidence intervals is discussed. The proposed policy is applied to a real situation involving maintenance of off-road engines owned by a Brazilian mining company. A simulation study compares the performance between the maintenance policy proposed and the periodical one.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Gustavo L. Gilardoni, Maria Luiza Guerra de Toledo, Marta A. Freitas, Enrico A. Colosimo,