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 ...

Take control charts as the principal statistical process control tools. The recognition accuracy of abnormal control chart patterns (CCPs) directly influences the quality control of production process ...

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 ...

SPC Overview offers a thorough introduction to the purpose and main concepts of statistical process control (SPC). This class describes different types of control charts, such as X bar, R, and P ...

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 ...

Technological innovations throughout the past several decades have transformed the pharmaceutical manufacturing process from traditional batch production to ...

Increasingly tight tolerances and rigorous demands for quality are forcing chipmakers and equipment manufacturers to ferret out minor process variances, which can create significant anomalies in ...

The semiconductor manufacturing process involves many steps, including, but not limited to, film deposition, photolithography, etching, and chemical mechanical polishing (CMP). Contamination can ...

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 ...