Center point runs are sometimes included in a Two-Level Factorial Design to estimate curvature (the departure from a linear relationship between the Response and the Factors), to obtain degrees of freedom for an estimate of background noise, and to check on consistency of the basic process during the course of an experimental study.
Reference: Understanding Industrial Experimentation
A. Run number. Factors, or independent variables. High and low levels of the Factors. Center points for the factors, values that are mid-point between the high and low settings. Center points are chosen for each Factor separately, and should be randomly distributed throughout the runs.
May 10, 16 09:24 PM
A Quality Control Plan is a documented description of the activities needed to control a process or product. The objective of a QCP is to minimize variation.
May 10, 16 08:49 PM
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May 10, 16 07:28 PM
The Weibull distribution is applicable to make population predictions around a wide variety of patterns of variation.