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ABSTRACT
In many real applications, the quality characteristics of interest may be in the form of attribute counts which are often modeled by a Poisson distribution. For the monitoring of such data, many different control charts have been developed. In this article, we compare the performance of several widely used Poisson control charts in terms of the average run-length. Based on the comparison study, some recommendations are made in order to choose the best-performing control chart under different situations. Moreover, we apply these charts in real data relating to the airplane accidents.
Acknowledgments
The authors would like to thank the Editor and the referees for their useful comments which resulted in improving the quality of this article.
Disclosure statement
No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
Vasileios Alevizakos
Vasileios Alevizakos received his MSc in Mathematical Modeling in Modern Technologies and Financial Engineering in 2018 from the National Technical University of Athens. He is currently a PhD candidate at the National Technical University of Athens. His research interests are statistical process control, process capability analysis, and robust parameter design.
Christos Koukouvinos
Christos Koukouvinos is graduated (PhD 1988) from the University of Thessaloniki, Greece. He is currently Professor at the National Technical University of Athens, Greece. He is the author of numerous papers in the field of statistics and combinatorics and he served on the editorial board of ten related journals and a guest editor for three special issues. He was awarded the prestigious Hall Medal of the ICA in 1996. He is a fellow of the ICA and a member of the Council of ICA from 2000 to 2003. His research interests include statistical experimental and optimal designs, statistical quality control, biostatistics, and combinatorial designs.