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Semiconductor manufacturing: using simulation-based scheduling to maximize demand fulfillment in a semiconductor assembly facility

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Winter Simulation Conference archive
Proceedings of the 34th conference on Winter simulation: exploring new frontiers table of contents

San Diego, California

SESSION: Simulation-based scheduling table of contents

Pages: 1857 - 1861

Year of Publication: 2002

ISBN:0-7803-7615-3

Authors

Juergen Potoradi	Infineon Technologies, Malaysia
Ong Siong Boon	Infineon Technologies, Malaysia
Scott J. Mason	University of Arkansas, Fayetteville, AR
John W. Fowler	Arizona State University, Tempe, AZ
Michele E. Pfund	Arizona State University, Tempe, AZ

Sponsors

IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
(SCS) : The Society for Modeling and Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers

Publisher

Winter Simulation Conference

Bibliometrics

Downloads (6 Weeks): 5, Downloads (12 Months): 15, Citation Count: 6

Additional Information:

abstract references cited by collaborative colleagues

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ABSTRACT

This paper describes how a large number of products are scheduled to run in parallel on a pool of wire-bond machines to meet weekly demand. We seek to maximize demand fulfillment subject to system constraints. The schedule is generated by a simulation engine and used to control the machines at execution time and also to plan for the start of material. By using online data for equipment status and WIP availability, the schedule adapts to "unforeseen" changes on the shop floor after a simulation run. The frequently updated schedule redirects the line towards maximum demand fulfillment based on the latest status of the line.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Brown, S., J. Domaschke, and F. Leibl. 1999. No Cost Applications For Assembly Cycle Time Reduction, International Conference on Semiconductor Manufacturing Operational Modeling and Simulation, pp. 159--163.
	2	Chance, F. 1996. Factory Explorer® users' guide.
	3	Hopp, W. J. and M. L. Spearman. 1996. Factory physics: foundation of manufacturing management. Chicago: Irwin.
	4	Sze, S. M. 1985. Semiconductor Devices: Physics and Technology. New York: John Wiley & Sons.

CITED BY 6

	Daniel Quadt, Simulation-based scheduling of parallel wire-bonders with limited clamp&paddles, Proceedings of the 37th conference on Winter simulation, December 03-06, 2006, Monterey, California
	Sebastian Werner , Sven Horn , Gerald Weigert , Thomas Jähnig, Simulation based scheduling system in a semiconductor backend facility, Proceedings of the 37th conference on Winter simulation, December 03-06, 2006, Monterey, California
	Sk Ahad Ali , Hamid Seifoddini , Hong Sun, Intelligent modeling and simulation of flexible assembly systems, Proceedings of the 37th conference on Winter simulation, December 04-07, 2005, Orlando, Florida
	Heiko Aydt , Stephen John Turner , Wentong Cai , Malcolm Yoke Hean Low, Symbiotic Simulation Systems: An Extended Definition Motivated by Symbiosis in Biology, Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation, p.109-116, June 03-06, 2008
	Siamak Tavakoli , Alireza Mousavi , Alexander Komashie, A generic framework for real-time discrete event simulation (DES) modelling, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida
	Andreas Klemmt , Sven Horn , Gerald Weigert , Thomas Hielscher, Simulations-based and solver-based optimization approaches for batch processes in semiconductor manufacturing, Proceedings of the 40th Conference on Winter Simulation, December 07-10, 2008, Miami, Florida

Collaborative Colleagues:

Juergen Potoradi: colleagues

Ong Siong Boon: colleagues

Scott J. Mason: colleagues

John W. Fowler: colleagues

Michele E. Pfund: colleagues

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