DocumentCode :
2119284
Title :
Resource graphs for modeling large-scale, highly congested systems
Author :
Hyden, Paul ; Schruben, Lee ; Roeder, Theresa
Author_Institution :
Dept. of Math. Sci., Clemson Univ., SC, USA
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
523
Abstract :
Simulations often execute too slowly to be effective tools for decision-making. In particular, this problem has been found in semiconductor manufacturing where conventional job-driven simulation models explicitly track each lot of wafers as it progresses through the system. While a job-driven simulation model offers some advantages, they inherently execute slowly. This paper explicitly defines resource-driven modeling. Here jobs are implicitly tracked through their resource usage. Resource-driven simulations typically run much faster than job-driven simulations. This speed-up is insensitive to congestion and is most dramatic when the system is highly congested and therefore most interesting to the analyst. There can also be a significant reduction in memory footprint. However, there is a potential tradeoff in information loss
Keywords :
digital simulation; operations research; highly congested systems; job-driven simulation models; resource graphs; resource-driven modeling; resource-driven simulations; semiconductor manufacturing; Availability; Computational modeling; Decision making; Large-scale systems; Processor scheduling; Semiconductor device manufacture; Semiconductor device modeling; Software design; Software packages; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2001. Proceedings of the Winter
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-7307-3
Type :
conf
DOI :
10.1109/WSC.2001.977333
Filename :
977333
Link To Document :
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