Statistical Process Control Chart
Statistical Process Control Chart. Data points outside the limits are indicative of an out-of-control process. The most common SPC tool is the control chart which is our focus of this chapter.
SPC control charts are foundational quality control tools and figure prominently in Lean manufacturing and Six Sigma efforts. The next step in creating an SPC chart is to establish the control units. It is more appropriate to say that the control charts are the graphical device for Statistical Process Monitoring (SPM).
There are three main packages designed specifically for creating statistical process control charts in R. qicharts - Access a tutorial on control charts here, Access a tutorial on run charts here. spc - This is a newer package for which there are not any tutorials available outside of the package documentation.
We just want these "random" data points to be within acceptable tolerances.
With this in mind, let's explore what SPC Control Charts are and how to use them to maintain the health of your processes. The complication of any process, manual or automated, is that it will exhibit variation in the performance of the process. In most cases, the line chart type is selected for the control charts.
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