Statistical Process Control (SPC)

Statistical Process Control is a method of monitoring a process through the use of control charts. Statistical process control refers to using statistical techniques for measuring and improving the quality of processes. Using statistical technques, control charts utilize objective information to determine the variation from events of significance. By taking samples at various points in a process and comparing the data to normal process data, variations can be detected and issues within the process can be pinpointed. This allows problems to be corrected, and it minimizes waste as well as the likelihood that problems will be passed on to the customer. Statistical process control has a distinct advantage over quality methods, such as inspection, that apply resources to detecting and correcting problems to the end product or service. Statistical process control emphasizes early detection and prevention of problems. SPC can also reduce the amount of time to produce a product or service because it minimizes the probability that a product will have to be reworked. Efficiancy may also result from using statistical process control data to identify wait times, bottlenecks, and other sources of delays within the process.

Statistical Process Control (SPC) Control Chart

A statistical process control chart is a graphical depiction of certain statistics for specific numerical measurements of the manufacturing process. These descriptive statistics compare data with the data that results when a process is working under ideal conditions. The comparison will show when there is a variation in a process and can pinpoint flaws in the process. Control charts can also be used for continuous process improvement efforts.

statistical process control

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