Abstract
Production and operations management is becoming increasingly challenging in a manufacturing system nowadays, as many processes are involved in the system and production performance is evaluated from different perspectives. Therefore, trade-off balancing is critical to achieve sustainable operations management. We propose a trade-off balancing model, and use our state space (SS) heuristic to show the effectiveness and efficiency in balancing trade-offs between utilization (Util) and work-in-process (WIP) inventories in a flow line. Our SS heuristic is superior to the best-known methods to max(Util) and min(WIP) respectively, showing consistent performance on trade-off balancing for adaptive production scheduling and control with variation in processing times.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 |
| Pages | 1257-1262 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538635933 |
| DOIs | |
| State | Published - Dec 4 2018 |
| Event | 14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany Duration: Aug 20 2018 → Aug 24 2018 |
Publication series
| Name | IEEE International Conference on Automation Science and Engineering |
|---|---|
| Volume | 2018-August |
| ISSN (Print) | 2161-8070 |
| ISSN (Electronic) | 2161-8089 |
Conference
| Conference | 14th IEEE International Conference on Automation Science and Engineering, CASE 2018 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 8/20/18 → 8/24/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering