The online quality engineering certificate emphasizes statistical process control (SPC), statistical analysis, and computing (using R/RStudio and SAS software). You'll learn to solve real-world ...

Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches ...

Chipmakers are relying on machine learning for electroplating and wafer cleaning at leading-edge process nodes, augmenting traditional fault detection/classification and statistical process control in ...

Jeff Slovin, President & Chief Executive Officer of Minitab, said: “By acquiring Prolink, Minitab is extending its leadership in the manufacturing quality and continuous improvement arena with ...

Statistical process control is a numerical approach to continuous improvement. It tracks results and quality relative to sets of data points, or measurable results.

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.

Monitoring multivariate quality variables or data streams remains an important and challenging problem in statistical process control (SPC). Although the multivariate SPC has been extensively studied ...

A medical device manufacturer ditched a clunky ERP module for quality inspection, opting instead for specialized statistical process control software.

Statistical process control (SPC) is quantitative problem solving consisting of both the diagnostic techniques for identifying problems in a process and the prescriptive techniques for solving these ...

Release 4.0 of Zontec's Synergy 2000 statistical process control software contains more than 20 new features and program enhancements. The software is designed for mission-critical plant computing ...