| Article ID: | iaor2002115 | 
| Country: | Singapore | 
| Volume: | 18 | 
| Issue: | 1 | 
| Start Page Number: | 67 | 
| End Page Number: | 76 | 
| Publication Date: | May 2001 | 
| Journal: | Asia-Pacific Journal of Operational Research | 
| Authors: | Goh T.N., Kong H., Xie Ming | 
| Keywords: | quality & reliability, statistics: distributions | 
Usually lifetime distributions are used for systems that are not repaired or maintained. In practice, regular replacement is usually implemented and the actual distribution of time to failure in such a case is of great interest. In this paper, the use of exponential distribution assumption is investigated. For a number of commonly used lifetime distributions, their average failure rate expressions are derived under the asssumption that the system is regularly replaced or maintained in such a way that it is considered to be good-as-new. Some analytical and numerical results are obtained. Such a study is useful for spare provision and maintenance decision-making. The interesting problem of optimal replacement policy is also investigated using Weibull distribution as an example.