DocumentCode
1808232
Title
Flexible Experimentation and Analysis for Hybrid DEVS and MPC Models
Author
Dongping Huang ; Sarjoughain, H.S. ; Godding, Gary W. ; Rivera, Daniel E.
Author_Institution
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ
fYear
2006
fDate
3-6 Dec. 2006
Firstpage
1863
Lastpage
1870
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
Keywords
discrete event simulation; discrete event systems; industrial control; integrated circuit manufacture; predictive control; supply chain management; discrete event system specification; discrete-event simulation; hybrid DEVS-MPC models; model predictive control; semiconductor manufacturing supply-chain systems; tactical control; Discrete event simulation; Discrete event systems; Predictive control; Predictive models; Process control; Semiconductor device manufacture; Semiconductor device testing; Supply chains; System testing; Virtual manufacturing;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference, 2006. WSC 06. Proceedings of the Winter
Conference_Location
Monterey, CA
Print_ISBN
1-4244-0500-9
Electronic_ISBN
1-4244-0501-7
Type
conf
DOI
10.1109/WSC.2006.322967
Filename
4117825
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