Abstract
We consider a single-unit system subject to a Markovian operating environment such that the system's instantaneous degradation rate depends on the state of the environment. The system fails when its cumulative degradation crosses some threshold. Using a simulation-based approach, we approximate the time to first failure distribution for this system with a Weibull distribution. We then develop an age-replacement policy for the system based on the Weibull approximation. As an alternative to the age-replacement policy, we also consider a condition-based maintenance policy. We compare the system performance resulting from the age-replacement policy with the performance resulting from the condition-based approach.
| Original language | English |
|---|---|
| Pages | 1737-1739 |
| Number of pages | 3 |
| State | Published - 2007 |
| Event | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States Duration: May 19 2007 → May 23 2007 |
Conference
| Conference | IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World |
|---|---|
| Country | United States |
| City | Nashville, TN |
| Period | 05/19/07 → 05/23/07 |
Keywords
- Age replacement policy
- Condition-based maintenance policy
- Stochastic degradation
Fingerprint Dive into the research topics of 'Comparing scheduled and condition-based maintenance policies for single-unit systems operated in Markovian environments'. Together they form a unique fingerprint.
Cite this
Xiang, Y., & Cassady, C. R. (2007). Comparing scheduled and condition-based maintenance policies for single-unit systems operated in Markovian environments. 1737-1739. Paper presented at IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World, Nashville, TN, United States.