1. Evolution of SPC Systems Technology and Integration with Industry 4.0 Architecture ...

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.

Statistical process control (SPC) involves ongoing checks to ensure that neither the mean nor the variability of the process readings has changed. Conventionally, this is done by pairs of ...

In monitoring complex systems, apart from quick detection of abnormal changes of system performance and key parameters, accurate fault diagnosis of responsible factors has become increasingly critical ...

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 ...

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.

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 ...