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Stochastic Flow Model-Based Representation of System-Level Manufacturing Quality

[+] Author Affiliations
Guillaume Graton, Martin Guay, Patrick Egbunonu

Queen’s University, Kingston, ON, Canada

Jorge Arinez

General Motors R&D Center, Warren, MI

Paper No. MSEC2007-31126, pp. 581-591; 11 pages
  • ASME 2007 International Manufacturing Science and Engineering Conference
  • ASME 2007 International Manufacturing Science and Engineering Conference
  • Atlanta, Georgia, USA, October 15–18, 2007
  • Conference Sponsors: Manufacturing Division
  • ISBN: 0-7918-4290-8 | eISBN: 0-7918-3809-9
  • Copyright © 2007 by ASME and General Motors Corporation


This paper describes the application of the stochastic-flow-modeling (SFM) approach to represent the quality behavior of a manufacturing system. The paper extends the basic one-product type SFM to that of a multiple-product manufacturing system. This quality SFM-based model has aggregation by machine, product, and operational shift. The paper also describes potential supervisory control architectures that could be used in conjunction with this quality-based SFM. The distribution parameter fitting is handled with static and adaptive approaches and a comparison between these two approaches is given. Finally, results are presented for different system examples that show the accuracy of the SFM modeling approach.

Copyright © 2007 by ASME and General Motors Corporation



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