Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.5555/3320516.3320944acmconferencesArticle/Chapter ViewAbstractPublication PageswscConference Proceedingsconference-collections
research-article

A bayesian indicator for run-to-run performance assessment using industrail risk

Published: 09 December 2018 Publication History

Abstract

This paper proposes a performance indicator based on the Bayesian theory. This indicator is used for assessing the performances of Run-to-Run controllers. The indicator is calculated by analyzing four main points: the output/target error, the output dispersion, the out of tolerance (oot) rate and the industrial risk. The proposed Bayesian method has been tested on the Run-to-Run loops of a semiconductor manufacturing foundry.

References

[1]
Bode, C., B. Ko, and T. Edgar. 2004. "Run-to-Run Control and Performance Monitoring of Overlay in Semiconductor Manufacturing". Control Engineering Practice 12(7):893--900.
[2]
Boning, D. S., W. P. Moyne, T. H. Smith, J. Moyne, R. Telfeyan, A. Hurwitz, S. Shellman, and J. Tayor. 1996. "Run by Run Control of Chemical-Mechanical Polishing". IEEE Transactions on Components, Packaging, and Manufacturing Technology: Part C 19(4):307--314.
[3]
Carlin, B. P., and T. A. Louis. 1997. "Bayes and Empirical Bayes Methods for Data Analysis". Statistics and Computing 7(2):153--154.
[4]
Chang, Y. S., I. S. Choi, and D. S. Bai. 2002. "Process Capability Indices for Skewed Populations". Quality and Reliability Engineering International 18(5):383--393.
[5]
Chen, L., M. Ma, S.-S. Jang, D. S.-H. Wang, and S. Wang. 2009. "Performance Assessment of Run-to-Run Control in Semiconductor Manufacturing Based on IMC Framework". International Journal of Production Research 47(15):4173--4199.
[6]
Del Castillo, E., and A. M. Hurwitz. 1997. "Run-to-Run Process Control: Literature Review and Extensions". Journal of Quality Technology 29(2):184--196.
[7]
Edgar, T. F., S. W. Butler, W. J. Campbell, C. Pfeiffer, C. Bode, S. B. Hwang, K. Balakrishnan, and J. Hahn. 2000. "Automatic Control in Microelectronics Manufacturing: Practices, Challenges, and Possibilities". Automatica 36(11):1567--1603.
[8]
May, G. S., and C. J. Spanos. 2006. Fundamentals of Semiconductor Manufacturing and Process Control. John Wiley & Sons, New Jersey.
[9]
Moyne, J., E. Del Castillo, and A. M. Hurwitz. 2000. Run-to-Run Control in Semiconductor Manufacturing. CRC press.
[10]
Nduhura-Munga, J., G. Rodriguez-Verjan, S. Dauzere-Peres, C. Yugma, P. Vialletelle, and J. Pinaton. 2013. "A literature Review on Sampling Techniques in Semiconductor Manufacturing". IEEE Transactions on Semiconductor Manufacturing 26(2):188--195.
[11]
Qin, S. J., G. Cherry, R. Good, J. Wang, and C. A. Harrison. 2006. "Semiconductor manufacturing process control and monitoring: A fab-wide framework". Journal of Process Control 16(3):179--191.
[12]
Spanos, C. J., H.-F. Guo, A. Miller, and J. Levine-Parrill. 1992. "Real-time Statistical Process Control Using Tool Data (Semiconductor Manufacturing)". IEEE Transactions on Semiconductor Manufacturing 5(4):308--318.
[13]
Toprac, A. J., D. J. Downey, and S. Gupta. 1999. Run-to-Run Control Process for Controlling Critical Dimensions. Google Patents. US Patent App. 09/908,390.
[14]
Wang, J., and Q. P. He. 2007. "A Bayesian Approach for Disturbance Detection and Classification and its Application to State Estimation in Run-to-Run Control". IEEE Transactions on Semiconductor Manufacturing 20(2):126--136.
[15]
Yang, L., and J. Lee. 2012. "Bayesian Belief Network-based Approach for Diagnostics and Prognostics of Semiconductor Manufacturing Systems". Robotics and Computer-Integrated Manufacturing 28(1):66--74.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
WSC '18: Proceedings of the 2018 Winter Simulation Conference
December 2018
4298 pages
ISBN:978153866570

Sponsors

Publisher

IEEE Press

Publication History

Published: 09 December 2018

Check for updates

Qualifiers

  • Research-article

Conference

WSC '18
Sponsor:
WSC '18: Winter Simulation Conference
December 9 - 12, 2018
Gothenburg, Sweden

Acceptance Rates

WSC '18 Paper Acceptance Rate 183 of 260 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 15
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 22 Sep 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media