The funnel experiment: The Markov-based SPC approach.

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Bibliographic Details
Title: The funnel experiment: The Markov-based SPC approach.
Authors: Singer, Gonen1, Ben-Gal, Irad1 bengal@eng.tau.ac.il
Source: Quality & Reliability Engineering International. Dec2007, Vol. 23 Issue 8, p899-913. 15p. 2 Diagrams, 3 Charts, 5 Graphs.
Subjects: Markov processes, Manufacturing processes, Statistical process control, Quality control, Stochastic processes
Abstract: The classical funnel experiment was used by Deming to promote the idea of statistical process control (SPC). The popular example illustrates that the implementation of simple feedback rules to stationary processes violates the independence assumption and prevents the implementation of conventional SPC. However, Deming did not indicate how to implement SPC in the presence of such feedback rules. This pedagogical gap is addressed here by introducing a simple feedback rule to the funnel example that results in a nonlinear process to which the traditional SPC methods cannot be applied. The proposed method of Markov-based SPC, which is a simplified version of the context-based SPC method, is shown to monitor the modified process well. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:The classical funnel experiment was used by Deming to promote the idea of statistical process control (SPC). The popular example illustrates that the implementation of simple feedback rules to stationary processes violates the independence assumption and prevents the implementation of conventional SPC. However, Deming did not indicate how to implement SPC in the presence of such feedback rules. This pedagogical gap is addressed here by introducing a simple feedback rule to the funnel example that results in a nonlinear process to which the traditional SPC methods cannot be applied. The proposed method of Markov-based SPC, which is a simplified version of the context-based SPC method, is shown to monitor the modified process well. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]
ISSN:07488017
DOI:10.1002/qre.852