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Tuesday, November 13, 2018

"Implementation and Interpretation of Control Charts in R" - qcc package

I was pointed to the nice resent on-line publication: https://datascienceplus.com/implementation-and-interpretation-of-control-charts-in-r/ 

"...Control charts are used during the Control phase of DMAIC methodology. Control charts, also known as Shewhart charts or process-behavior charts, are a statistical process control tool used to determine if a manufacturing or business process is in a state of control. If analysis of the control chart indicates that the process is currently under control, then no corrections or changes to process control parameters are needed. Moreover, data from the method can be used to predict the future performance of the process. If the control chart indicates that the process is not in control, analysis of the chart can help determine the sources of variation, as this will result in degradation of process performance..."

My comment:
When I had been developing SEDS (Performance Anomaly Detection System) long ago (years ago) I looked at that package (and referenced the link to my early CMG papers, BTW) even not knowing how to write R programs (now I can!)... They might improved that, but I did not find that time the way to do MASF type of control charts. I have even dreamed to build SETDS charts (IT-Control Charts)  package on a open source way. So my approach is the same but different, please read details in my paper:

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