Flexible experimentation and analysis for hybrid DEVS and MPC models

Authors:
Dongping Huang;Hessam S. Sarjoughain;Gary W. Godding;Daniel E. Rivera;Karl G. Kempf
Affiliations:
Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona;Arizona State University, Tempe, Arizona;Intel Corporation, Chandler, Arizona
Venue:
Proceedings of the 38th conference on Winter simulation
Year:
2006

Citing 7
Cited 2

CONLOAD—a new lot release rule for semiconductor wafer fabs

Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Theory of Modeling and Simulation

Theory of Modeling and Simulation
Multi-formalism modeling approach for semiconductor supply/demand networks

WSC '04 Proceedings of the 36th conference on Winter simulation
Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture

WSC '04 Proceedings of the 36th conference on Winter simulation
Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

WSC '05 Proceedings of the 37th conference on Winter simulation
A distributed computing architecture for simulation and optimization

WSC '05 Proceedings of the 37th conference on Winter simulation
DDSOS: A Dynamic Distributed Service-Oriented Simulation Framework1

ANSS '06 Proceedings of the 39th annual Symposium on Simulation

Model composability

Proceedings of the 38th conference on Winter simulation
Application of combined discrete-event simulation and optimization models in semiconductor enterprise manufacturing systems

Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come

Quantified Score

Hi-index	0.00

Visualization

Abstract

Discrete-event simulation and control-theoretic approaches lend themselves to studying semiconductor manufacturing supply-chain systems. In this work, we detail a modeling approach for semiconductor manufacturing supply-chain systems in a hybrid DEVS/MPC testbed that supports experimentations for DEVS and MPC models using KIBDEVS/MPC. This testbed supports detailed analysis and design of interactions between discrete processes and tactical controller. A set of experiments have been devised to illustrate the role of modeling interactions between Discrete Event System Specification and Model Predictive Control models. The testbed offers novel features to methodically identify and analyze complex model interactions and thus support alternative designs based on tradeoffs between model resolutions and execution times.