Evolution of SPC Systems Technology and Integration with Industry 4.0 Architecture. Traditional Statistical Process Control (SPC) is undergoing a transformation from a quality ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches often ...

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.

There are many different approaches for assessing process parameter criticality, and assessing which process parameters have a significant impact on critical quality attributes (CQAs) is a particular ...

SPC is a statistical tool that objectively identifies when it is worthwhile to perform a formal investigation of manufacturing variation, in order to identify and reduce its cause. SPC continually ...

All companies want to improve the quality of their products. Attempts to improve product quality need to be structured in such a way that they have a reasonable chance of success and the cost/benefit ...

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 ...

The Christie NHS Foundation Trust in Manchester has implemented visualisation software on statistical process control (SPC) charts to improve clinical outcomes. The Christie is Europe’s largest single ...

Modeling conducted in the process development and early commercialization stages can increase process efficiency and lead to process-control improvement. A virtual plant environment, running on a PC, ...