2008
DOI: 10.1198/004017008000000307
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A Change Point Approach for Phase I Analysis in Multistage Processes

Abstract: We study the phase I analysis of a multistage process where the input of the current process stage may be closely related to the output(s) of the earlier stage(s). We frame univariate observations from each of the stages in a multistage process as a single vector and recognize that the directions in which these vectors can shift are limited when attention is restricted to a single step shift in the mean of one stage. This allows us to focus detection power on a limited subspace with improved sensitivity. Takin… Show more

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Cited by 42 publications
(15 citation statements)
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“…The original quality measurements, instead of the OSFE, were invested to take full directional information into consideration. Zuo et al further integrated the directional information with the classical binary segmentation test and proposed a change point approach for phase I analysis of MMPs102. These two works are for the monitoring and diagnosis of single variation source presented in an MMP.…”
Section: Spc Methods For Variation Reduction Of Mmpsmentioning
confidence: 99%
“…The original quality measurements, instead of the OSFE, were invested to take full directional information into consideration. Zuo et al further integrated the directional information with the classical binary segmentation test and proposed a change point approach for phase I analysis of MMPs102. These two works are for the monitoring and diagnosis of single variation source presented in an MMP.…”
Section: Spc Methods For Variation Reduction Of Mmpsmentioning
confidence: 99%
“…A large K may cause the amount of data in certain OC class to be very small, and then influence the subsequent training procedure. Thus, we should limit the size of OC clusters K. As to the method for clustering, since the Phase I clustering method is not the focus of this paper, some existing works (Zorriassatine, Tannock, & O'Brien, 2003;Chakraborti, Van der Laan, & Bakir, 2008;Zou, Tsung, & Liu, 2008) are suggested to achieve good clustering performance, instead.…”
Section: The Estimated Value Of Bmentioning
confidence: 98%
“…Further interpretation are always needed to gain some insights about the manufacturing processes. Zou, Tsung, and Liu (2008) integrated a multivariate changepoint monitoring scheme based on an engineering model. Xiang and Tsung (2008) proposed a statistical monitoring procedure based on engineering model for monitoring an MMP.…”
Section: Literature Reviewmentioning
confidence: 99%