Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimization meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex manufacturing system we are able to automatically generate dispatching rules for a scenario from semiconductor manufacturing. Evolved dispatching rules clearly outperform manually developed rules from literature.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - Winter Simulation Conference |
| Number of pages | 12 |
| Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 2010 |
| Pages | 2504-2515 |
| ISBN (print) | 978-1-4244-9866-6 |
| ISBN (electronic) | 978-1-4244-9865-9, 978-1-4244-9864-2 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 43rd Winter Simulation Conference - WSC 2010: Integration and collaboration - Baltimore, United States Duration: 05.12.2010 → 08.12.2010 Conference number: 43 http://meetings2.informs.org/wordpress/wsc2020/past-conferences/ |
- Engineering - Complex manufacturing systems, Dispatching rules, Metaheuristic, Semiconductor manufacturing, Weighted tardiness