Statistically speaking, most past World Series winners have had these common factors. Looking at this year's data, five teams ...

Quality improvement (QI) projects often employ statistical process control (SPC) charts to monitor process or outcome measures as part of ongoing feedback, to inform successive Plan-Do-Study-Act ...

In this paper, a new software for Statistical Process Control (SPC) is proposed. The system, the so-called CEP Online, was developed based on statistical computing resources of well-known free ...

Background The way that data are presented can influence quality and safety initiatives. Time-series charts highlight changes but do not clarify whether data lie outside expected variation.

Learn about the most important statistical techniques for process improvement, such as descriptive statistics, inferential statistics, control charts, design of experiments, and Six Sigma.

Nous’s DisTrO optimizer means powerful AI models can now be trained outside of big companies, across the open web on consumer-grade connections, potentially by individuals or institutions ...

Many food and beverage manufacturers still rely on outdated, paper-based systems for quality control, which leads to increased costs, wasted efforts, and quality issues that put consumer safety and ...

Multivariate control charts are commonly used for monitoring processes, the quality of which is determined by two or more correlated output variables. The aim of this paper is to point out the ...