Premium
The funnel experiment: The Markov‐based SPC approach
Author(s) -
Singer Gonen,
BenGal Irad
Publication year - 2007
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.852
Subject(s) - funnel , statistical process control , computer science , markov chain , markov process , process (computing) , context (archaeology) , simple (philosophy) , algorithm , machine learning , engineering , mathematics , statistics , mechanical engineering , paleontology , philosophy , epistemology , biology , operating system
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.