TY - GEN
T1 - Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing
AU - Sarjoughian, Hessam
AU - Huang, Dongping
AU - Godding, Gary W.
AU - Kempf, Karl G.
AU - Wang, Wenlin
AU - Rivera, Daniel
AU - Mittelmann, Hans
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
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U2 - 10.1109/WSC.2005.1574259
DO - 10.1109/WSC.2005.1574259
M3 - Conference contribution
AN - SCOPUS:31344462120
SN - 0780395204
SN - 9780780395206
T3 - Proceedings - Winter Simulation Conference
SP - 256
EP - 266
BT - Proceedings of the 2005 Winter Simulation Conference
T2 - 2005 Winter Simulation Conference
Y2 - 4 December 2005 through 7 December 2005
ER -