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Scheduling cluster tools using filtered beam search and recipe comparison
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Source Winter Simulation Conference archive
Proceedings of the 37th conference on Winter simulation table of contents
Orlando, Florida
SESSION: Semiconductor manufacturing: tool control table of contents
Pages: 2203 - 2210  
Year of Publication: 2005
ISBN:0-7803-9519-0
Authors
Simon Oechsner  University of Würzburg, Würzburg, Germany
Oliver Rose  Technical University of Dresden, Dresden, Germany
Publisher
Winter Simulation Conference 
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ABSTRACT

Cluster tools have gained a lot of importance in today's semiconductor manufacturing. A cluster tool basically consists of several processing chambers in a mainframe, several load locks to insert wafer lots and a robot arm to move them. This means that these tools are able to work on more than one lot at the same time. Since the lot combination processed together can have an influence on the cycle times of these lots, scheduling is needed to ensure that the overall cycle times are kept low. In a previous work, we presented a method based on filtered beam search using slowdown factors as evaluation methods. Here, we will present another evaluation method based on recipe comparison that produces even better results. We will also show results of a beam width parameter study.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Bohr, M. 1999. Schedulingverfahren für Cluster Tools in der Halbleiterfertigung. (In German) Master's thesis. Department of Computer Science. University of Würzburg, Germany.
 
2
Dümmler, M. 2004. Modeling and Optimization of Cluster Tools in Semiconductor Manufacturing. PhD thesis, Department of Computer Science. University of Würzburg, Germany.
 
3
Niedermayer, H., Rose, O. 2003. A Simulation-based Analysis of the Cycle Time of Cluster Tools in Semiconductor Manufacturing. Proceedings of 15th European Simulation Symposium, Delft, Netherlands.
 
4
Oechsner, S. and Rose, O. 2005. A filtered beam search approach to scheduling cluster tools in semiconductor manufacturing. In Proceedings of IERC'05, May 14--18, Atlanta, USA
 
5
Pinedo, M. 2001. Scheduling. Theory, Algorithms, and Systems. 2nd edition. Prentice-Hall.
 
6
Schmidt, M. 1999. Modellierung und Simulation von Cluster Tools in der Halbleiterfertigung. (In German) Master's thesis. Department of Computer Science. University of Würzburg, Germany.
Collaborative Colleagues:
Simon Oechsner: colleagues
Oliver Rose: colleagues