Statistical process control (SPC) includes the use of statistical techniques and tools, such as control charts, to monitor change in a process. These are typically applied separately to each process variable of interest. Statistical process control procedures help provide an answer to the question: “Is the process in control?” When an out-of-control event is identified as a signal in a control chart, procedures often are available for locating the specific process variables that are the cause of the problem.
In multivariate statistical process control (MVSPC), multivariate statistical control procedures are used to simultaneously monitor many process variables that are interrelated and form a correlated set that move together (see Mason and Young 2002). The relationships that exist between and among the variables of the multivariate process are used in developing the procedure. Assume that the observation vectors obtained from a process are independent random variables that can be...
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References and Further Reading
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Mason, R.L., Young, J.C. (2011). Multivariate Statistical Process Control. In: Lovric, M. (eds) International Encyclopedia of Statistical Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04898-2_38
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DOI: https://doi.org/10.1007/978-3-642-04898-2_38
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