Multi-formalism modeling approach for semiconductor supply/demand networks

Gary W. Godding, Hessam Sarjoughian, Karl G. Kempf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Building computational models of real world systems usually requires the interaction of decision modules and simulation modules. Given different models and algorithms, the major hurdles in building a principled and robust system are model composibility and algorithm interoperability. We describe an approach to the composibility problem including initial results. This exposition is given in the context of Linear Programming as the decision technique and Discrete Event Simulation as the simulation technique, both applied to the design and operation of semiconductor supply/demand networks.

Original languageEnglish (US)
Title of host publicationProceedings - Winter Simulation Conference
EditorsR.G. Ingalls, M.D. Rossetti, J.S. Smith, B.A. Peters
Pages232-239
Number of pages8
Volume1
StatePublished - 2004
EventProceedings of the 2004 Winter Simulation Conference - Washington, DC, United States
Duration: Dec 5 2004Dec 8 2004

Other

OtherProceedings of the 2004 Winter Simulation Conference
CountryUnited States
CityWashington, DC
Period12/5/0412/8/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Godding, G. W., Sarjoughian, H., & Kempf, K. G. (2004). Multi-formalism modeling approach for semiconductor supply/demand networks. In R. G. Ingalls, M. D. Rossetti, J. S. Smith, & B. A. Peters (Eds.), Proceedings - Winter Simulation Conference (Vol. 1, pp. 232-239)