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.
|Title of host publication||2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018|
|Number of pages||6|
|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
|Name||IEEE International Conference on Automation Science and Engineering|
|Conference||14th IEEE International Conference on Automation Science and Engineering, CASE 2018|
|Period||8/20/18 → 8/24/18|
Bibliographical noteFunding Information:
We appreciate support from the Department of Mechanical Engineering at University of Kentucky, Department of Industrial Engineering at Tsinghua University, and Tsinghua IE-Jiaozhou Logistic Research Center.
* Research was supported by grant number R03HS024633 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality.
© 2018 IEEE.
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering