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Determining optimal lot-size for a semiconductor back-end factory

Authors:

Juergen Potoradi,

Gerald Winz,

Lee Weng KamAuthors Info & Claims

WSC '99: Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1

Pages 720 - 726

https://doi.org/10.1145/324138.324466

Published: 01 December 1999 Publication History

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References

[1]

Adachi, T., J.J. Talavage, and C.L. Moodie. 1989. A rule-based control method for a multi-loop production system. Artificial Intelligence in Engineering, Vol. 4, No. 3, 115-125.

Crossref

Google Scholar

[2]

Chance, F. 1996. Factory Explorer~ users' guide.

Google Scholar

[3]

Chance, F., J.K. Robinson, and J.W. Fowler. 1996. Supporting manufacturing with simulation: model design, development, and deployment. In Procee-dings of the 1996 Winter Simulation Conference, ed. J.M. Charnes, D.J. Morrice, D.T. Brunner, and J.J. Swain, 114-121. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[4]

Domaschke, J., S. Brown, J.K. Robinson, and F. Leibl. 1996. Effective implementation of cycle time reduction strategies for semiconductor back-end manufacturing. In Proceedings of the 1998 Winter Simulation Conference, ed. D.J. Medeiros, E.F. Watson, J.S. Carson, and M.S. Manivannan, 985-992. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.

Digital Library

Google Scholar

[5]

Fowler, J.W. and J.K. Robinson. 1995. "Measurement and Improvement of Manufacturing Capacity (MIMAC) Designed Experiment Report", SEMATECH Technology Transfer #95062861A-TR.

Google Scholar

[6]

Hopp, W. J., and M.L. Spearman. 1996. Factory Physics: Foundation of Manufacturing Management. Chicago: Irwin.

Google Scholar

[7]

Law, A. M., and W.D. Kelton. 1991. Simulation Modeling & Analysis. McGraw Hill.

Digital Library

Google Scholar

[8]

Tran-Gia, P. 1996. Analytische Leistungsbewertung verteilter Systeme. Berlin: Springer.

Google Scholar

Cited By

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Park YHur S(2020)Improvement of Productivity through the Reduction of Unexpected Equipment Faults in Die Attach EquipmentProcesses10.3390/pr80403948:4(394)Online publication date: 27-Mar-2020
https://doi.org/10.3390/pr8040394
Goss RMaxim CAdhikari DRothe J(2018)Leveraging new SEMI standard to reduce waste and improve flow for semicoductor manufacturingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2010.08.00126:6(658-664)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1016/j.rcim.2010.08.001
Noack DGan BLendermann PRose OJefferson TFowler JIngalls R(2008)An optimization framework for waferfab performance enhancementProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517127(2194-2200)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517127
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Index Terms

Determining optimal lot-size for a semiconductor back-end factory
1. Applied computing
  1. Enterprise computing
  2. Operations research
    1. Industry and manufacturing
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies

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Information

Published In

WSC '99: Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1

December 1999

925 pages

ISBN:0780357809

DOI:10.1145/324138

Editors:
Phillip A. Farrington
Univ. of Alabama in Huntsville, Huntsville
,
Harriet Black Nembhard
Univ. of Wisconsin—Madison, Madison
,
David T. Sturrock
Systems Modeling, Sewickley, PA
,
Gerald W. Evans
Univ. of Louisville, Louisville, KY

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 1999

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Conference

WSC99

Sponsor:

WSC99: Winter Simulation Conference 1999

December 5 - 8, 1999

Arizona, Phoenix, USA

Acceptance Rates

WSC '99 Paper Acceptance Rate 139 of 206 submissions, 67%;

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

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Cited By

View all

Park YHur S(2020)Improvement of Productivity through the Reduction of Unexpected Equipment Faults in Die Attach EquipmentProcesses10.3390/pr80403948:4(394)Online publication date: 27-Mar-2020
https://doi.org/10.3390/pr8040394
Goss RMaxim CAdhikari DRothe J(2018)Leveraging new SEMI standard to reduce waste and improve flow for semicoductor manufacturingRobotics and Computer-Integrated Manufacturing10.1016/j.rcim.2010.08.00126:6(658-664)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1016/j.rcim.2010.08.001
Noack DGan BLendermann PRose OJefferson TFowler JIngalls R(2008)An optimization framework for waferfab performance enhancementProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517127(2194-2200)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517127
Noack DGan BLendermann PRose O(2008)An optimization framework for waferfab performance enhancement2008 Winter Simulation Conference10.1109/WSC.2008.4736319(2194-2200)Online publication date: Dec-2008
https://doi.org/10.1109/WSC.2008.4736319
Aydt HTurner SCai WLow MLendermann PGan B(2008)Symbiotic Simulation Control in Semiconductor ManufacturingComputational Science – ICCS 200810.1007/978-3-540-69389-5_5(26-35)Online publication date: 2008
https://doi.org/10.1007/978-3-540-69389-5_5
Low MLye KLendermann PTurner SChim RLeo SPechoucek MSteiner DThompson S(2005)An agent-based approach for managing symbiotic simulation of semiconductor assembly and test operationProceedings of the fourth international joint conference on Autonomous agents and multiagent systems10.1145/1082473.1082809(85-92)Online publication date: 25-Jul-2005
https://dl.acm.org/doi/10.1145/1082473.1082809
Schömig A(2001)OR Probleme in der MikrochipfertigungOperations Research Proceedings 200010.1007/978-3-642-56656-1_54(339-344)Online publication date: 2001
https://doi.org/10.1007/978-3-642-56656-1_54
Sivakumar AFishwick PKang KJoines JBarton R(2000)Simulation based cause and effect analysis of cycle time distribution in semiconductor backendProceedings of the 32nd conference on Winter simulation10.5555/510378.510593(1464-1471)Online publication date: 10-Dec-2000
https://dl.acm.org/doi/10.5555/510378.510593
Sivakumar A(2000)Simulation based cause and effect analysis of cycle time distribution in semiconductor backend2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165)10.1109/WSC.2000.899127(1464-1471)Online publication date: 2000
https://doi.org/10.1109/WSC.2000.899127
Winz GPotoradi JPang Tong Lim (1999)Improvement of production logistics for backend manufacturing1999 IEEE International Symposium on Semiconductor Manufacturing Conference Proceedings (Cat No.99CH36314)10.1109/ISSM.1999.808743(81-84)Online publication date: 1999
https://doi.org/10.1109/ISSM.1999.808743

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Optimal lot-size policy for deteriorating items with stock-dependent demand considering profit maximization

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