Abstract: A system and method is disclosed for the automated real-time collection, extraction, transformation, analysis and presentation of statistical process control (SPC) information. One or more monitored systems or processes generate operational process control information that is stored in its native form. An SPC system iteratively accesses this information, transforms it as required, and performs statistical processing to generate database tables, control charts and other predetermined forms of data output. The statistical processing output is then extracted by an automated SPC data extraction system in real-time. The extracted data is placed in a data wrapper and submitted, likewise in real-time, to one or more statistical analysis systems or models, which process the data to derive new specification limits. The new specification limits are applied to monitored systems and processes resulting in the generation of new operational measurements, which are in turn collected and processed.

Abstract: A system and method is disclosed for the automated real-time collection, extraction, transformation, analysis and presentation of statistical process control (SPC) information. One or more monitored systems or processes generate operational process control information that is stored in its native form. An SPC system iteratively accesses this information, transforms it as required, and performs statistical processing to generate database tables, control charts and other predetermined forms of data output. The statistical processing output is then extracted by an automated SPC data extraction system in real-time. The extracted data is placed in a data wrapper and submitted, likewise in real-time, to one or more statistical analysis systems or models, which process the data to derive new specification limits. The new specification limits are applied to monitored systems and processes resulting in the generation of new operational measurements, which are in turn collected and processed.