The Individuals Control Charts for Burr Distributed Data

The setting of the control limits to utilize on a control chart supposes the assumption of the normality. However, in many situations, this condition does not hold. There are numerous studies on the control charts when the underlying distribution is non-normal. This paper examines the effects of non-normality as measured by skewness and provides an alternative method of designing individuals control charts(I Chart) for the burr distributed data with the parameter for uncorrelated and independent data. It proposes a skewness correction method for constructing the individuals control charts. The Chart is simply an adjustment of the “ Skewness Correction x and R charts for Skewed Distributions” written by Lai and Cui. The results of a simulation study for the burr distributed data for n equals to five and seven are given. Key -Words: Quality Control, Shewhart Control Charts-(S), Skewness Correction-(SC),Normality Assumption for Control Charts, Individuals Control Charts, Zones Test.