Statistical process control (SPC) is quantitative problem solving consisting of both the diagnostic techniques for identifying problems in a process and the prescriptive techniques for solving these ...

This course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to reduce variation.

Measurements of agreement are needed to assess the acceptability of a new or generic process, methodology, and formulation in areas of laboratory performance, instrument or assay validation, method ...

Statistical Process Control (SPC) foundations and applications Xbar, EWMA, CUSUM and discrete event methods for detecting process problems Methods for analyzing process changes by looking at general ...

Statistical process control is a numerical approach to continuous improvement. It tracks results and quality relative to sets of data points, or measurable results.

The resulting availability of Big Data enhances “line monitoring,” statistical process control methods that can predict yield excursions before they occur, immediately detect excursions so ...