Randomness is inherent in all processes including manufacturing. The fundamental concepts taught in this course will help learners develop powerful statistical process control methods that are the ...

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.

Market opportunities lie in developing and implementing SPC systems for laboratories to enhance GLP compliance. Utilizing control charts, like Nelson Rules, allows for early detection and correction ...

This asynchronous 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 ...

The use of automated fastening, in assembly areas on aerodynamic surfaces, has recently experienced the need for improved uniformity in rivet protrusion. This has mainly come about from the increasing ...

Residual-based control charts are popular methods for statistical process control of autocorrelated processes. To implement these methods, a time series model of the process is required. The model ...

There is a boom in the volume of semiconductor devices being manufactured, and the boom is primarily credited to the proliferation of Internet of Things (IoT)-based devices in our daily lives. IoT ...