Three-Dimensional Control Charts for Regulating Processes Described by a Two-Dimensional Normal Distribution

In the statistical management of processes in initial phase, stability technological process is determined based on available samples. If not stable, eliminating possible causes brought into a statistically controlled position. At same time, simple Shewhart control charts are used. practice, some methods bring to stable state (ISO standards, standards various states). After has become boundaries found for further management. Then, with help new samples, managed. The article considers modeled by two-dimensional normal distribution. New have been check normality and correlation random variable components. regulated using these charts, preserving shape density individual components vector linearity When constructing Kolmogorov-Smirnov type agreement criterion Fisher strength linear coupling were A concrete example shows course introduction production. work results can be used phase regulation during under study. We assess product quality coming from machine that produces sleeves. It presents analyzing problems factory practice solutions their elimination.