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

Author

Listed:
  • Chen-Fu Chien
  • Stephane Dauzere-Peres
  • Hans Ehm
  • John W. Fowler
  • Zhibin Jiang
  • Shekar Krishnaswamy
  • Tae-Eog Lee
  • Lars Monch
  • Reha Uzsoy

Abstract

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. [Received: 01 March 2010; Revised: 16 April 2010; Accepted: 01 May 2010]

Suggested Citation

  • Chen-Fu Chien & Stephane Dauzere-Peres & Hans Ehm & John W. Fowler & Zhibin Jiang & Shekar Krishnaswamy & Tae-Eog Lee & Lars Monch & Reha Uzsoy, 2011. "Modelling and analysis of semiconductor manufacturing in a shrinking world: challenges and successes," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 5(3), pages 254-271.
    • Handle: RePEc:ids:eujine:v:5:y:2011:i:3:p:254-271
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    Citations

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    Cited by:

    1. Raphael Herding & Lars Mönch, 2024. "A rolling horizon planning approach for short-term demand supply matching," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 865-896, September.
    2. Chen-Fu Chien & Chiao-Wen Liu & Shih-Chung Chuang, 2017. "Analysing semiconductor manufacturing big data for root cause detection of excursion for yield enhancement," International Journal of Production Research, Taylor & Francis Journals, vol. 55(17), pages 5095-5107, September.
    3. Allahverdi, Ali & Aydilek, Harun, 2014. "Total completion time with makespan constraint in no-wait flowshops with setup times," European Journal of Operational Research, Elsevier, vol. 238(3), pages 724-734.
    4. Jens Rocholl & Lars Mönch & John Fowler, 2020. "Bi-criteria parallel batch machine scheduling to minimize total weighted tardiness and electricity cost," Journal of Business Economics, Springer, vol. 90(9), pages 1345-1381, November.

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