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Home  >  Volume 26 (March 2014)

41. Identifying out of Control Signals in a Bivariate Control Chart via the Bootstrap Approach Ikpotokin O. and Ishiekwene C.C. Volume26, (March, 2014), pp 305 – 310.
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Abstract

In manufacturing and service industries, most multivariate statistical quality control charts are usually used to determine whether a process is performing as intended or if there are some unnatural causes of variation upon an overall statistics. Once a multivariate control chart signals, identifying which or combination of the quality characteristics responsible for the signal has been a difficult task. To address this problem,a bootstrap approach in setting up control limits is presented, and the decomposition method is presented to identify which or combination of variables responsible for the signals in a bivariate case.

Keywords: bootstrap approach, bivariate control charts, decomposition, signals, identification methods

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