Abstract
We consider a two-machine-one-buffer production system with each machine's condition following a certain degradation process. An analytical model of the integration of machine condition degradation and productivity is introduced. Analytical methods based on the Markov chain approach are developed to quantify the interaction between machine condition degradation process and the overall system performance. In addition, system-theoretical properties are investigated to provide insight on how the system parameters affect the system performance. These methods provide a quantitative tool for modeling, analyzing, and improving manufacturing systems with tight interactions between machine condition degradation and productivity.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 |
| Publisher | IEEE Computer Society |
| Pages | 1128-1133 |
| Number of pages | 6 |
| Volume | 2016-November |
| ISBN (Electronic) | 9781509024094 |
| DOIs | |
| State | Published - Nov 14 2016 |
| Event | 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 - Fort Worth, United States Duration: Aug 21 2016 → Aug 24 2016 |
Other
| Other | 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 |
|---|---|
| Country/Territory | United States |
| City | Fort Worth |
| Period | 8/21/16 → 8/24/16 |
Keywords
- Geometric machine
- integration
- Machine condition degradation
- throughput analysis
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering