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
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.
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