Research

Nonparametric adaptive opportunity-based age replacement strategies


Reference:

Schrijner, P. C., Coolen, F. P. A. and Shaw, S. C., 2006. Nonparametric adaptive opportunity-based age replacement strategies. Journal of the Operational Research Society, 57 (1), pp. 63-81.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.

Official URL:

http://dx.doi.org/10.1057/palgrave.jors.2601954

Abstract

We consider opportunity-based age replacement (OAR) using nonparametric predictive inference (NPI) for the time to failure of a future unit. Based on n observed failure times, NPI provides lower and upper bounds for the survival function for the time to failure Xn+1 of a future unit which lead to upper and lower cost functions, respectively, for OAR based on the renewal reward theorem. Optimal OAR strategies for unit n+1 follow by minimizing these cost functions. Following this strategy, unit n+1 is correctively replaced upon failure, or preventively replaced upon the first opportunity after the optimal OAR threshold. We study the effect of this replacement information for unit n+1 on the optimal OAR strategy for unit n+2. We illustrate our method with examples and a simulation study. Our method is fully adaptive to available data, providing an alternative to the classical approach where the probability distribution of a unit's time to failure is assumed to be known. We discuss the possible use of our method and compare it with the classical approach, where we conclude that in most situations our adaptive method performs very well, but that counterintuitive results can occur.

Details

Item Type Articles
CreatorsSchrijner, P. C., Coolen, F. P. A. and Shaw, S. C.
DOI10.1057/palgrave.jors.2601954
DepartmentsFaculty of Science > Mathematical Sciences
RefereedYes
StatusPublished
ID Code7028

Export

Actions (login required)

View Item