Transforms for cause-selecting control chart for a bivariate high-sigma process
by S. Lakshminarasimhan, S.M. Kannan
International Journal of Six Sigma and Competitive Advantage (IJSSCA), Vol. 3, No. 3, 2007

Abstract: When two production processes are interdependent, cause-selecting control charts are used to detect the variations in the succeeding process on account of the preceding process. In current literature, these charts are discussed for three-sigma process quality monitoring. In high-sigma processes that operate above three-sigma, the defect counts are in the order of parts per million. The traditional charts are obsolete for monitoring such processes. Count of conforming items between two non-conforming items is being used as data for the high-sigma process control charts. The underlying distribution is geometric distribution. Transforms are being used to convert the data to normality. In this work, a new transform is proposed for residual-type, cause-selecting control charts for a bivariate high-sigma process.

Online publication date: Sun, 09-Sep-2007

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