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 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 ...

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 ...

This course teaches the basic statistical principles, state-of-the-art concepts, advanced tools, and available techniques for statistical process monitoring, quality fault detection, and continues ...

Achieving quality in the medical laboratory requires the use of many tools. This workbook explains the basic knowledge necessary to understand a simple but effective statistical process control system ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

A medical device manufacturer ditched a clunky ERP module for quality inspection, opting instead for specialized statistical process control software. Upgrading to new software costs time and money ...

The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

Data make up a crucial element in Bioprocessing 4.0. Biomanufacturers must efficiently collect, manage, and analyze this information. Compatibility between devices, data sources, and software packages ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...