Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hessam Sarjoughian, Dongping Huang, Gary W. Godding, Karl G. Kempf, Wenlin Wang, Daniel Rivera, Hans Mittelmann

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

29 Scopus citations


Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes Discrete-EVent System specification (DEVS) with Model Predictive Control (MPC) paradigms using a Knowledge Interchange Broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 Winter Simulation Conference
Number of pages11
StatePublished - Dec 1 2005
Event2005 Winter Simulation Conference - Orlando, FL, United States
Duration: Dec 4 2005Dec 7 2005

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2005 Winter Simulation Conference
Country/TerritoryUnited States
CityOrlando, FL

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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