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International Conference on Information Technology for Balanced Automation Systems

BASYS 2006: Information Technology For Balanced Manufacturing Systems pp 339–348Cite as

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A Load Balancing Method for Dedicated Photolithography Machine Constraint

A Load Balancing Method for Dedicated Photolithography Machine Constraint

  • Arthur Shr1,
  • Alan Liu1 &
  • Peter P. Chen2 
  • Conference paper
  • 1233 Accesses

  • 8 Citations

Part of the IFIP International Federation for Information Processing book series (IFIPAICT,volume 220)

Abstract

The dedicated photolithography machine constraint in semiconductor manufacturing is one of the new issues of photolithography machinery due to natural bias. In this paper, we propose the heuristic Load Balancing (LB) scheduling approach based on a Resource Schedule and Execution Matrix (RSEM) to tackle this constraint. The LB method is to schedule each wafer lot at the first photolithography stage to a suitable machine, according to the load balancing factors among machines. We describe the proposed LB scheduling method and present an example to demonstrate the proposed method and the result of the simulations to validate the approach.

Keywords

  • Load Balance
  • Semiconductor Manufacturing
  • Process Pattern
  • Schedule Approach
  • Schedule Rule

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, 621, Taiwan, R. 0. C.

    Arthur Shr & Alan Liu

  2. Department of Computer Science, Louisiana State University, 298 Coates Hall, Baton Rouge, LA, 70803, USA

    Peter P. Chen

Authors
  1. Arthur Shr
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  2. Alan Liu
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  3. Peter P. Chen
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© 2006 International Federation for Information Processing

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Shr, A., Liu, A., Chen, P.P. (2006). A Load Balancing Method for Dedicated Photolithography Machine Constraint. In: Information Technology For Balanced Manufacturing Systems. BASYS 2006. IFIP International Federation for Information Processing, vol 220. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-36594-7_36

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  • DOI: https://doi.org/10.1007/978-0-387-36594-7_36

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