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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 let you find out the key changes, which can be easily differentiated from the natural change in the process.

This control chart is a part of a disciplined approach that will let you take 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.

- Control the ongoing process by detecting the problems briskly as and when they occur
- Predict the outcome of the process that is followed
- Determine whether or not the process is stable
- Analyze patterns that would change with the process from common or special causes
- Find out whether the quality improvement project should keep the problems at bay or change the process that is in place.

There are different types of control charts available and each chart has unique traits related to the quality attribute that is analyzed thoroughly.

**X bar control chart**: This is a type of variable control chart. This graph is plotted to closely monitor the mean of a specific variable. For instance, you can measure the steel rod length, the weight of the bags that comprise the compound, etc. To draw this chart, you need to pick a few samples of process outputs at a regular period of time. The mean of each sample set would be computed and represented graphically in an X-bar control chart. This is the best chart that helps you to find out the actual process mean along with the normal process mean. This also explains whether the mean output would change over time or not.

**R control chart**: This kind of chart would explain the variability that one can see in the process. This is best suited for the processes where the size of the sample is too small. The sample data would be recorded with the help of a process for a specific quality trait. For every set of sample data, one can record both the lowest and highest readings. This will determine the range of the data set. These ranges are represented on the control chart.

**S control charge**: This is the standard deviation control chart. This is best suited to monitor the variable data. This is ideal to be used where there is a massive set of data samples to be recorded. This standard deviation in the sample sets would represent the variation in the massive sets of data versus the calculation of the range. The best part of using this type of control chart is that you can use all the data sets to find out the variation rather than just finding the minimum and maximum values.

**U and c control charts**: These charts are used to keep a close tab on and control count data that is in the numbering format. The best example of this data is to find out the defects in the raw materials of a specific batch or defects that are detected in the end product. The c chart would come into the picture when you detect the defects per every sample unit. The total number of samples that are for every sampling period would remain the same. U chart is like that of the c chart. The defects per every sample unit would be recorded. In u chart, the total samples would change with the change in the sampling period.

**p and np control charts**: P charts are widely used in the place where you would need to determine the pass and fail of products on the units that are thoroughly inspected. The p chart will help you to find whether the defects would change with the change in the process over the sampling time. In this type of chart, the size of the sample would change over a period of time. The chart that is similar to the p chart is the np chart. In this type of chart, the size of the sample would remain constant over a period of time. If you need help in writing the assignment on this type of chart, you can seek the help of our **Control Charts project Help** experts who are well-versed in it.

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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 |