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Special cause management: A knowledge-based approach to statistical process control

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Abstract

In this paper we discuss a set of software tools developed to support the tasks associated with managing special causes of variation in a manufacturing process. These tasks include the detection of significant changes in process variables, a diagnosis of the causes of those changes, the discovery of new causes, the management of performance data, and the reporting of results. The software tools include automatic recognition of “out-of-control” features in critical process variables, rule-based diagnosis of special causes, a model-based search for symptoms where a diagnosis is not possible, and automated reporting aids. It is hoped that these tools will enhance the efficiency of special cause management.

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References

  1. H.M. Wadsworth, K.S. Stephens and A.B. Godfrey,Modern Methods For Quality Control And Improvement (Wiley, 1986).

  2. W.A. Shewhart, Quality control charts, Bell System Technical Journal (October 1926) 593.

  3. W.A. Shewhart,Economic Control Of Quality And Manufactured Products (Van Nostrand, 1931).

  4. H.D. Maragah and W.H. Woodall, The effect of autocorrelation on the Shewhart quality control chart with supplementary run rules, paper presented at the Joint Statistical Meetings, ASA (1988).

  5. P.L. Love and M. Simaan, Automatic recognition of primitive signals in manufacturing process signals, Pattern Recognition 21, no. 4 (1988).

    Google Scholar 

  6. G. Stockman, L.N. Kanal and M.G. Kyle, Structural recognition of cartoid pulse waves using a general waveform parsing system, Commun. Ass. Comput. Mach. 19 (1976) 690.

    Google Scholar 

  7. K.P. Birman, Rule-based learning for more accurate ECG analysis, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-4 (1982) 369.

    Google Scholar 

  8. K.R. Anderson, Syntactic analysis of seismic waveforms using augmented transition network grammars, Geoexploration 20 (1982) 161.

    Google Scholar 

  9. K.S. Fu,Syntactical Methods In Pattern Recognition (Academic Press, 1974).

  10. J.W. Tukey, Non-linear (nonsuperposable) method for smoothing data, in:Proc. 1974 EASCON Conf. (1974).

  11. D. Weinreb and D. Moon,The Lisp Machine Manual (MIT Press, 1981).

  12. F. Hayes-Roth, D.A. Waterman and D.B. Lenant,Building Expert Systems (Addison-Wesley, 1983).

  13. B.G. Buchanan and E.H. Shortliffe,Rule-Based Expert Systems: The Mycin Experiments of the Heuristic Programming Project (Addison-Wesley, 1983).

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Authors and Affiliations

  1. BBN Laboratories, 10 Moulton St., 02138, Cambridge, MA, USA

    Kenneth R. Anderson

  2. Alcoa Laboratories, Alcoa Center, 15069, PA, USA

    David E. Coleman, C. Ray Hill, Andrew P. Jaworski, Patrick L. Love & Douglas A. Spindler

  3. Electrical Engineering Department, Benedum Hall, University of Pittsburgh, 15261, Pittsburgh, PA, USA

    Marwan Simaan

Authors
  1. Kenneth R. Anderson
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  2. David E. Coleman
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  3. C. Ray Hill
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  4. Andrew P. Jaworski
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  5. Patrick L. Love
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  6. Douglas A. Spindler
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  7. Marwan Simaan
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Anderson, K.R., Coleman, D.E., Hill, C.R. et al. Special cause management: A knowledge-based approach to statistical process control. Ann Math Artif Intell 2, 21–37 (1990). https://doi.org/10.1007/BF01530995

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  • DOI: https://doi.org/10.1007/BF01530995

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