Most quality control and quality improvement procedures involve making assumptions about the distributional form of data it uses; usually the data is distributed. It is common place to find processes that generate data which is not normally distributed, e.g.Weibull, logistic or mixture data is increasingly encountered. This book is concerned with statisitcal process control (SPC), where SPC is to control a process in an ideal situation with respect to a particular product specification. One of the several measurement tools of SPC is control chart which monitors process and quality improvement. The literature review indicates that there are real problems in dealing with statistical process control for non-normal distributions and mixture distributions. This book provides a quantile approach to deal with non-normal distributions, in order to construct median rankit control chart. The quantile approach will also be used to calculate a process capability index, average run length,...

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