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Statistical process control information


Statistical process control (SPC) or statistical quality control (SQC) is the application of 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 charts, control charts, a focus on continuous improvement, and the design of experiments. An example of a process where SPC is applied is manufacturing lines.

SPC must be practiced in two phases: The 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.

In addition to reducing waste, SPC can lead to a reduction in the time required to produce the product. SPC makes it less likely the finished product will need to be reworked or scrapped.

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Statistical process control

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controls in place. A control chart analysis is used to determine whether the process is "in statistical control" If the process is not in statistical...

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specification limits. The concept of process capability only holds meaning for processes that are in a state of statistical control. This means it cannot account...

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rules are decision rules in statistical process control for detecting out-of-control or non-random conditions on control charts. Locations of the observations...

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submarines. Process control: model predictive control, controllability measures, robust control, nonlinear control, statistical process control, process monitoring...

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Acceptable quality limit

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a quality control procedure, a process is said to be at an acceptable quality level if the appropriate statistic used to construct a control chart does...

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parameter Statistical parametric mapping Statistical parsing Statistical population Statistical power Statistical probability Statistical process control Statistical...

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applied statistical tolerancing can ensure acceptable assembly yields with increased component tolerances and lower fabrication costs. The statistical variation...

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