Intelligent Quality Surveillance For Industry

In this project, a user-friendly tool is developed to statistically support decision making in quality control for (food) companies. The focus lies on (i) the development of sampling schemes that can deal with very low percentage of defects in a lot by using historical measurements, and (ii) the development of monitoring tools for industrial processes that can detect very small shifts in process means.