Multi-formalism modeling approach for semiconductor supply/demand networks

Gary W. Godding; Hessam Sarjoughian; Karl G. Kempf

Multi-formalism modeling approach for semiconductor supply/demand networks

Gary W. Godding, Hessam Sarjoughian, Karl G. Kempf

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Proceedings - Winter Simulation Conference
Editors	R.G. Ingalls, M.D. Rossetti, J.S. Smith, B.A. Peters
Pages	232-239
Number of pages	8
Volume	1
State	Published - 2004
Event	Proceedings of the 2004 Winter Simulation Conference - Washington, DC, United States Duration: Dec 5 2004 → Dec 8 2004

Other

Other	Proceedings of the 2004 Winter Simulation Conference
Country/Territory	United States
City	Washington, DC
Period	12/5/04 → 12/8/04

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "Multi-formalism modeling approach for semiconductor supply/demand networks",

abstract = "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.",

author = "Godding, {Gary W.} and Hessam Sarjoughian and Kempf, {Karl G.}",

year = "2004",

language = "English (US)",

volume = "1",

pages = "232--239",

editor = "R.G. Ingalls and M.D. Rossetti and J.S. Smith and B.A. Peters",

booktitle = "Proceedings - Winter Simulation Conference",

note = "Proceedings of the 2004 Winter Simulation Conference ; Conference date: 05-12-2004 Through 08-12-2004",

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AU - Godding, Gary W.

AU - Sarjoughian, Hessam

AU - Kempf, Karl G.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

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UR - http://www.scopus.com/inward/citedby.url?scp=17744380255&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:17744380255

VL - 1

SP - 232

EP - 239

BT - Proceedings - Winter Simulation Conference

A2 - Ingalls, R.G.

A2 - Rossetti, M.D.

A2 - Smith, J.S.

A2 - Peters, B.A.

T2 - Proceedings of the 2004 Winter Simulation Conference

Y2 - 5 December 2004 through 8 December 2004

ER -

Multi-formalism modeling approach for semiconductor supply/demand networks

Abstract

Other

ASJC Scopus subject areas

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