Abstract
For some engineering design and manufacturing applications, particularly for evolving and new technologies, populations of manufactured components can be heterogeneous and consist of several subpopulations. The co-existence of n subpopulations can be common in devices when the manufacturing process is still maturing or highly variable. A new model is developed and demonstrated to determine accelerated burn-in and condition-based maintenance policies for populations composed of distinct subpopulations subject to stochastic degradation. Accelerated burn-in procedures with multiple accelerating factors are considered for the degradation-based heterogeneous populations. Condition-based maintenance is implemented during field operation after burn-in procedures. The proposed joint accelerated burn-in and condition-based maintenance policy are compared with two benchmark policies: a joint accelerated burn-in and age-based preventive replacement policy and a condition-based maintenance-only policy. Numerical examples are provided to illustrate the proposed procedure. Sensitivity analysis is performed to investigate the value of joint accelerated burn-in and condition-based maintenance policy and to indicate which type of policy should be applied according to different conditions and device characteristics. © 2014
| Original language | English |
|---|---|
| Pages (from-to) | 1093-1106 |
| Number of pages | 14 |
| Journal | IIE Transactions (Institute of Industrial Engineers) |
| Volume | 46 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 3 2014 |
Keywords
- accelerated burn-in
- condition-based maintenance
- mixture degradation model
- n-Subpopulations
- stochastic degradation