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Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes

Authors :
Shekar Krishnaswamy
Tae-Eog Lee
John W. Fowler
Chen-Fu Chien
Hans Ehm
Reha Uzsoy
Zhibin Jiang
Lars Mönch
Stéphane Dauzère-Pérès
Département Sciences de la Fabrication et Logistique (SFL-ENSMSE)
École des Mines de Saint-Étienne (Mines Saint-Étienne MSE)
Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-CMP-GC
Industrial Engineering Division
TSMC
School of Computing, Informatics and Decision Systems Engineering
Arizona State University [Tempe] (ASU)
Department of Industrial Engineering & Logistics
Shanghai Jiao Tong University [Shanghai]
Department of Industrial and System Engineering
Korea Advanced Institute of Science and Technology (KAIST)
Department of Mathematics and Computer Science, Chair of Enterprise-wide Software Systems
University of Hagen
Department of Industrial and Systems Engineering
North Carolina State University [Raleigh] (NC State)
University of North Carolina System (UNC)-University of North Carolina System (UNC)
Dauzère-Pérès, Stéphane
Source :
European Journal of Industrial Engineering, European Journal of Industrial Engineering, Inderscience, 2011, 5 (3), pp.254-271
Publication Year :
2011
Publisher :
HAL CCSD, 2011.

Abstract

International audience; This paper presents a brief overview of semiconductor manufacturing followed by the results of a panel session held at the Fourth International Conference on Modeling and Analysis of Semiconductor Manufacturing (MASM) in Miami, December 10, 2008 on the role of modelling and analysis in semiconductor manufacturing in a shrinking world. Three participants are from Asia, two from Europe, and two from the USA in addition to the two panel organisers (Fowler and Mönch). At least one panellist from each continent is from industry and one from academia. The statements of the panellists from industry relate to modelling and analysis problems found in their own companies. Those of the academic panellists describe the role that modelling and analysis has played and is expected to play in their semiconductor manufacturing research. Their views on the challenges and successes of modelling and analysis in a globalised world are also included. Finally, we identify some future research challenges for semiconductor manufacturing.

Details

Language :
English
ISSN :
17515254 and 17515262
Database :
OpenAIRE
Journal :
European Journal of Industrial Engineering, European Journal of Industrial Engineering, Inderscience, 2011, 5 (3), pp.254-271
Accession number :
edsair.doi.dedup.....a1faa8a966670eca1d1b13840109be19