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Control charts are also known as Shewhart Chart which is named after Professor Walter A. Shewhart. This is the most popular tool that is used for statistical quality control. This will show how the statistical process would change over time in a graphical format. These charts are also known by another name, i.e. process behavior charts. This tool will help you to determine whether or not any business process is in a position of statistical control. If the analysis that is carried out with the help of control charts states that the process is under control, then the data that is extracted from this process would be used to forecast the performance of the business process. If the chart states that the process, which is under supervision is going beyond control, then analyzing the chart would help you to find the key sources of variation. This can be totally eliminated to put the process into its actual form. A control chart is a kind of run chart that lets you find out the key changes, which can be easily differentiated from the natural change in the process.
This control chart is part of a disciplined approach that will let you make the right business decisions related to process control, especially whether you can change the process control parameters or not.
There are different types of charts like the n chart, P chart, and other charts that are used to carry out the analysis of the process to check whether it is working perfectly or not. In the control chart, you can see a central line that represents the average, the upper line to control the upper limit, and the lower line to control the lower limit. These are the lines that are found based on past data. When you compare the fresh data with these lines, you can easily summarize the change in the process.
There are different types of control charts available and each chart has unique traits related to the quality attribute that is analyzed thoroughly.
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P-charts | R-charts |
Interpreting Control Chart | Statistical Process Control |
Sampling Inspection | Data Analysis |
Control Charting | DMAIC Process |
Capability Analysis | Univariate Statistical Process Monitoring |
Process Variability | Six-Sigma Process Quality |
Cumulative sum (cusum) charts | Process control using variables |