Article

Supply chain and distribution network: semiconductor supply network simulation

Authors:

Gary W. Godding,

Hessam S. Sarjoughian,

Karl G. KempfAuthors Info & Claims

WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation

Pages 1593 - 1601

Published: 07 December 2003 Publication History

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Abstract

More efficient and effective control of supply networks is conservatively worth billions of dollars to the national and world economy. Developing improved control requires simulation of physical flows of materials involved and decision policies governing these flows. This paper describes our initial work on modeling each of these flows as well as simulating their integration through the synchronized interchange of data. We show the level of abstraction that is appropriate, formulate and test a representative model, and describe our findings and conclusions.

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Cited By

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Blas MGonnet SLeone H(2017)Routing structure over discrete event system specificationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242240(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242240
Hubscher-Younger TMosterman PDeLand SOrqueda OEastman DRose OUhrmacher A(2012)Integrating discrete-event and time-based models with optimization for resource allocationProceedings of the Winter Simulation Conference10.5555/2429759.2430080(1-15)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430080
Ehm HPonsignon TWenke HMönch LForstner L(2011)Towards a supply chain simulation reference model for the semiconductor industryProceedings of the Winter Simulation Conference10.5555/2431518.2431771(2124-2135)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431771
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Supply chain and distribution network: semiconductor supply network simulation
1. Applied computing

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Information & Contributors

Information

Published In

WSC '03: Proceedings of the 35th conference on Winter simulation: driving innovation

December 2003

2094 pages

ISBN:0780381327

General Chair:
David Ferrin
Naperville, IL
,
Program Chair:
Douglas J. Morrice
The University of Texas at Austin, Austin, TX

Publisher

Winter Simulation Conference

Publication History

Published: 07 December 2003

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WSC03

Sponsor:

IIE
INFORMS/CS
ASA
ACM
SIGSIM
IEEE/CS
NIST
(SCS)
IEEE/SMCS

WSC03: Winter Simulation Conference 2003

December 7 - 10, 2003

Louisiana, New Orleans

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WSC '03 Paper Acceptance Rate 128 of 189 submissions, 68%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all

Blas MGonnet SLeone H(2017)Routing structure over discrete event system specificationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242240(1-12)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242240
Hubscher-Younger TMosterman PDeLand SOrqueda OEastman DRose OUhrmacher A(2012)Integrating discrete-event and time-based models with optimization for resource allocationProceedings of the Winter Simulation Conference10.5555/2429759.2430080(1-15)Online publication date: 9-Dec-2012
https://dl.acm.org/doi/10.5555/2429759.2430080
Ehm HPonsignon TWenke HMönch LForstner L(2011)Towards a supply chain simulation reference model for the semiconductor industryProceedings of the Winter Simulation Conference10.5555/2431518.2431771(2124-2135)Online publication date: 11-Dec-2011
https://dl.acm.org/doi/10.5555/2431518.2431771
Pastrana JHelal MMarin MMendizabal CYücesan E(2010)Enterprise schedulingProceedings of the Winter Simulation Conference10.5555/2433508.2433924(3350-3362)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433924
Rabelo LEskandari HShalan THelal M(2005)Supporting simulation-based decision making with the use of AHP analysisProceedings of the 37th conference on Winter simulation10.5555/1162708.1163064(2042-2051)Online publication date: 4-Dec-2005
https://dl.acm.org/doi/10.5555/1162708.1163064
Godding GSarjoughian HKempf K(2004)Multi-formalism modeling approach for semiconductor supply/demand networksProceedings of the 36th conference on Winter simulation10.5555/1161734.1161784(232-239)Online publication date: 5-Dec-2004
https://dl.acm.org/doi/10.5555/1161734.1161784

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The relationship between supply chain resilience, supply chain integration, and supply chain performance: A MASEM analysis

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