Statistical process control: Difference between revisions

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Revision as of 19:27, 24 January 2025

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'''Statistical process control''' ('''SPC''') or '''statistical quality control''' ('''SQC''') is the application of [[statistics|statistical methods]] to monitor and control the quality of a production process. This helps to ensure that the process operates efficiently, producing more specification-conforming products with less waste 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 [[run chart]]s, [[control chart]]s, a focus on [[Continuous Improvement Process|continuous improvement]], and [[Design of experiments|the design of experiments]]. An example of a process where SPC is applied is manufacturing lines.

SPC must be practiced in two phases: Thethe first phase is the initial establishment of the process, and the second phase is the regular production use of the process. In the second phase, a decision of the period to be examined must be made, depending upon the change in 5M&E conditions (Man, Machine, Material, Method, Movement, Environment) and wear rate of parts used in the manufacturing process (machine parts, jigs, and fixtures).

An advantage of SPC over other methods of quality control, such as "[[inspection]]," is that it emphasizes early detection and prevention of problems, rather than the correction of problems after they have occurred.