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The use of slow down factors for the analysis and development of scheduling algorithms for parallel cluster tools
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Source Winter Simulation Conference archive
Proceedings of the 38th conference on Winter simulation table of contents
Monterey, California
SESSION: Semiconductor manufacturing: dispatching and scheduling approaches table of contents
Pages: 1840 - 1847  
Year of Publication: 2006
ISBN:1-4244-0501-7
Authors
Robert Unbehaun  Dresden University of Technology, Dresden, Germany
Oliver Rose  Dresden University of Technology, Dresden, Germany
Sponsors
IEICE ESS : Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IIE : Institute of Industrial Engineers
ASA : American Statistical Association
IEEE-CS\DATC : The IEEE Computer Society
INFORMS-CS : Institute for Operations Research and the Management Sciences-College on Simulation
NIST : National Institute of Standards and Technology
SIGSIM: ACM Special Interest Group on Simulation and Modeling
(SCS) : The Society for Modeling and Simulation International
Publisher
Winter Simulation Conference 
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Downloads (6 Weeks): 4,   Downloads (12 Months): 11,   Citation Count: 1
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ABSTRACT

In this paper, we describe the problem of developing scheduling algorithms for an environment of parallel cluster tools, which is a special case of the parallel unrelated machines problem. At first we will describe the problem under consideration in detail and then present our scheduling environment and the idea of using slow down factors to predict lot cycle times to evaluate schedules and parts of them. This article is more a conceptual kind of work containing mostly basic thoughts to illustrate facets of the problem and first solution ideas. Nonetheless the authors see a high potential in examining these questions. Little research has been done on that issue so far.


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
Atherton, L. F. and R. W. Atherton. 1995. Wafer Fabrication: Factory Performance and Analysis. Kluwer.
 
2
Joo, Y.-J. and T.-E. Lee; 2004. "Virtual Control: A Virtual Cluster Tool for Testing and Verifying a Cluster Tool Controller and a Scheduler". IEEE Robotics & Automation Magazine, 11(3), 33--49.
 
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4
Niedermayer, H. and O. Rose. 2003. "A Simulation-based Analysis of the Cycle Time of Cluster Tools in Semiconductor Manufacturing". In Proceedings of the 15th European Simulation Symposium.
 
5
Perkinson, T. L., P. K. McLarty, R. S. Gyurcsik, and R. K. Cavin III. 1994. "Single-Wafer Cluster Tool Performance: An Analysis of Throughput." IEEE Transactions on Semiconductor Manufacturing, 7 (3), 369--373.
 
6
Perkinson, T. L., P. K. McLarty, R. S. Gyurcsik, and R. K. Cavin III. 1996. "Single-Wafer Cluster Tool Performance: An Analysis of the Effects of Redundant Chambers and Revisitation Sequences on Throughput." IEEE Transactions on Semiconductor Manufacturing, 9 (3), 384--400.
 
7
Pinedo, M. 2001. Scheduling. Theory, Algorithms, and Systems. 2nd edition. Prentice-Hall.

Collaborative Colleagues:
Robert Unbehaun: colleagues
Oliver Rose: colleagues