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Using statistical process control
Statistical process control is going to be used by most manufacturing plants as a way to monitor the consistency of the processes that they use to manufacture a product as designed. The main goal of statistical process control is to get and keep processes under control, regardless of how good or bad the design is of the product being manufactured. All that statistical process control is supposed to do is make sure that the product is being manufactured as intended, by following the design that it is assigned. Statistical process control cannot improve a poorly designed product's reliability, all it can do is maintain the consistency of how the product is made, which is only as good as its designed reliability.
One of the most common tools used for statistical process control is the control chart. The control chart is a graphical representation of the descriptive statistics for certain quantitative measurements of the manufacturing process for a product. How the control chart works is that the statistics are displayed in the control chart in comparison to the "in control" sampling distributions. This comparison is designed to detect any unusual variations in your manufacturing process. If these unusual variations arte detected it can indicate that there is a problem with your process, by knowing what the possible problem is you can take the steps required to correct the problem so that your manufacturing process runs as designed. The one thing that you need to know about control charts is that several different descriptive statistics can be used in control charts, and several different types of control charts can be used to test for a variety of causes. Control charts can also be used with product measurements to analyze process capability and to make improvements to your processes. Here is a look at the benefits that using statistical process control can provide for your manufacturing plant.
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