Statistical Process Control (SPC)

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Statistical Process Control (SPC)


About this course

Statistical process control (SPC) is a method of quality control, which uses statistical methods. SPC is applied in order to monitor and control a process. Monitoring and controlling the process ensures that it operates at its full potential.

At its full potential, the process can make as much conforming product as possible with a minimum (if not an elimination) of waste (rework or scrap). SPC can be applied to any process where the “conforming product” (product meeting specifications) output can be measured. Key tools used in SPC include control charts; a focus on continuous improvement; and the design of experiments.

According to Shewhart, acknowledged father of control charts: “A phenomenon will be said to be controlled, when through the use of past experience, we can predict, at least within limits, how the phenomenon may be expected to behave in the future.”

Statistical process control (SPC) is concerned with operating on target with minimum variance. Statistical process control (SPC) is used to drive action. Inappropriate action can make a situation worse. Knowing who is responsible for what kind of action is one of the key objectives of statistical process control (SPC).


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