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


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
Number of pages8
StatePublished - 2004
EventProceedings of the 2004 Winter Simulation Conference - Washington, DC, United States
Duration: Dec 5 2004Dec 8 2004


OtherProceedings of the 2004 Winter Simulation Conference
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • Engineering(all)


Dive into the research topics of 'Multi-formalism modeling approach for semiconductor supply/demand networks'. Together they form a unique fingerprint.

Cite this