Speaker
Description
Over the past decade, ongoing collaboration in research and technology transfer between faculty and professionals from Ecuadorian Escuela Politécnica Nacional and Universidad Nacional de Chimborazo, and Spanish Universidade da Coruña, has led to multiple developments in computational statistics aimed at solving real-world problems in industry and engineering.
Specifically, our work has focused on the development of R packages covering a wide range of applications in statistical quality control and reliability analysis. The qcr package, for instance, was created to provide practical tools for statistical process control using control charts—univariate, multivariate, and functional—as well as process capability analysis. Moreover, in the field of design of experiments, we developed the ILS package, which offers tools for interlaboratory studies involving complex data, and the r6qualitytools package, aimed at supporting broader quality improvement applications. On the reliability side, we created the FCGR and TTS packages. These implement nonparametric methods developed by the authors to estimate lifetime distributions of materials under fatigue, and to predict master curves and service lifetimes for viscoelastic materials.
All of these packages are open-access and designed to equip practitioners with user-friendly computational tools for monitoring, analyzing, and improving processes in industrial and service contexts—especially when working with complex or nonstandard data, or when estimating material lifetimes under stress.
| Classification | Mainly application |
|---|---|
| Keywords | R software, Statistical Quality Control, Reliability |