The purpose of this paper is to propose a new method based on goodness of fit tests for shift detection problems.
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.
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.
To the best of author’s knowledge, no attention has previously been paid to application of goodness of fit tests in process control.
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
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