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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo-Wei Hsieh Shi-Chung Chang Chun-Hung Chen |
| Copyright Year | 2001 |
| Description | Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Bo-Wei Hsieh) |
| Abstract | We exploit the speed of an ordinal optimization (OO)-based simulation tool designed by Hsieh et al. (1999) to investigate dynamic selection of scheduling rules for semiconductor wafer fabrication (FAB). Although a scheduling rule is a combination of loading wafer release and dispatching rules, this paper specifically focuses on dispatching when significant amount of wafers-in-process are held due to engineering causes and when major machine failures occur. Four prominent dispatching rules combined with the wafer release policy of workload regulation constitute a basic set of rule options. The dispatching rule may be weekly selected based on FAB states over a four-week horizon. A total of 756 rule options are then evaluated and ranked by the OO-based simulation tool under the performance index of mean cycle time and throughput rate. Results demonstrate the value of dynamic rule selection for uncertainty handling, the insightful selection of good rules and the needs for further research. |
| Sponsorship | IEEE Robotics & Autom. Soc |
| Starting Page | 535 |
| Ending Page | 540 |
| File Size | 625735 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780365763 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2001.932605 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-05-21 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic scheduling Fabrication Dispatching Job shop scheduling Modeling Processor scheduling Performance analysis Uncertainty Optimal control Industrial engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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