Statistical Process Control.

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Management                25/10/01

Statistical Process Control

A common complaint among production personnel is that engineers responsible for specifications do not understand production problems. Inspection personnel often complain not only about the poor quality of manufactured product but also about the unreasonableness of specified tolerances. In fact, very frequently inspection practices develop that substitute the inspectors views regarding proper tolerances for those actually specified by engineers. In many organizations, there is evident need for basic on which designers, production personnel, and inspectors can understand each other’s problems. The development of Quality Circles in Japan was an approach to solving this problem.

In the past many arguments among these three groups have been carried on with more heat than light because of the absence of fact in a form that would provide a basic for agreement. In many case these facts can be provided by use of statistical quality control techniques. In fact, statistical quality control provides a common language that may be used by all three groups in arriving at a rational solution of mutual problems.

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Many of the techniques developed by mathematical statisticians for the analysis of data may be used in control of product quality. The expression “Statistical Process Control” may be used to cover all uses of statistical techniques for this purpose. Statistical Process Control is a method of monitoring a process during its operation in order to control the quality of product while they are being produced rather than relying on inspection to find problems after the fact. It involves gathering information about the product, or the process itself, on a near real-time basic so that the operator can take action ...

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