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A new method for process control based on goodness of fit tests

Mohammad Saleh Owlia (Department of Industrial Engineering, Yazd University, Yazd, Iran)
Mohammad Saber Fallah Nezhad (Department of Industrial Engineering, Yazd University, Yazd, Iran)
Mohesn Sheikh Sajadieh (Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 2 February 2015

Abstract

Purpose

The purpose of this paper is to propose a new method based on goodness of fit tests for shift detection problems.

Design/methodology/approach

In this method, although the distribution of gathered data from the process is the subject of control, but any out-of-control signal could also be generalized to the overall state of the process including the parameters of the distribution.

Findings

Results of simulation study denote that among goodness of fit tests, the χ2 test has a better performance than the Kolmogorov-Smirnov test in detecting shifts of process. Also comparison of proposed method with traditional methods denotes that, proposed method generally has smaller probabilities of first and second type errors.

Originality/value

To the best of author’s knowledge, no attention has previously been paid to application of goodness of fit tests in process control.

Keywords

Citation

Owlia, M.S., Fallah Nezhad, M.S. and Sheikh Sajadieh, M. (2015), "A new method for process control based on goodness of fit tests", International Journal of Quality & Reliability Management, Vol. 32 No. 2, pp. 132-143. https://doi.org/10.1108/IJQRM-03-2013-0051

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited