On the Performance Evaluation of the Risk-adjusted Poisson Hurdle Cumulative Sum Chart

Abstract

Many operating environments, including manufacturing and healthcare, became more productive due to advances in science and technology. The effectiveness of a process is increased when a particular cause is precisely and accurately discovered. The hurdle Poisson process is frequently used for cases where the number of zeros is excessive. We suggest using risk-adjusted hurdle Poisson cumulative sum control charts to manage influenza risk. In a simulation study, we compare how well traditional cumulative sum control charts stack up against risk-adjusted hurdle Poisson control charts. We evaluate their performance using the average run length (ARL) and its standard deviation. We use Tokyo’s flu data to demonstrate how the proposed chart is applied. The charts reveal that, in the simulation studies, the unadjusted cumulative sum control chart outperforms the risk-adjusted one in terms of efficiency