Abstract
When a control chart addresses an out-of-control condition, a root-cause analysis should be started to identify and eliminate the special cause(s) of variation manifested in the process. The change point refers to the time when a special cause(s) takes place in the process and leads it to a departure from the in-control condition to an out-of-control condition. Identification of the change point is considered as an essential step for a root-cause analysis in both univariate and multivariate processes. If a change manifests in a normally distributed process mean, variance, or both, then the change point should be identified in the process mean, variance, or both, respectively. This paper attempts to comprehensively review the researches that considered the mean change point in different environment corresponding to univariate and multivariate normal processes.
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Atashgar, K. Identification of the change point: an overview. Int J Adv Manuf Technol 64, 1663–1683 (2013). https://doi.org/10.1007/s00170-012-4131-2
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DOI: https://doi.org/10.1007/s00170-012-4131-2