Process Control - Statistical Process Control

Statistical Process Control

Statistical process control (SPC) is an effective method of monitoring a process through the use of control charts. Much of its power lies in the ability to monitor both the current center of a process and the process's variation about that center. By collecting data from samples at various points within the process, variations in the process that may affect the quality of the end product or service can be detected and corrected, thus reducing waste as well as the likelihood that problems will be passed on to the customer. It has an emphasis on early detection and prevention of problems.

Multivariable Process Control is a type of Statistical Process Control where a set of variables (manipulated variables and control variables) are identified and the joint variations within this set are captured by a step test. The Dynamics captured in the model curves are used to control the plant

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Famous quotes containing the words process and/or control:

    The process of discovery is very simple. An unwearied and systematic application of known laws to nature causes the unknown to reveal themselves.
    Henry David Thoreau (1817–1862)

    Imagine believing in the control of inflation by curbing the money supply! That is like deciding to stop your dog fouling the sidewalk by plugging up its rear end. It is highly unlikely to succeed, but if it does it kills the hound.
    —Michael D. Stephens. “On Sinai, There’s No Economics,” New York Times (Nov. 13, 1981)