This is a preview. Log in through your library . Abstract Autocorrelation in industrial processes is no longer something that is just tested for and worried about if it occurs. It is a phenomenon that ...

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 ...

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 ...

As manufacturing technology moves toward more computerized automation, statistical process control (SPC) techniques must adapt to keep pace with the new environment and take advantage of 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.

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 ...

This article applies the basics of stability, performance, and capability to modern process performance and capability indices. Performance metrics for processes are an area of much regulatory ...