A performance measurement of fuzzy-p control chart

Abstract

The objective of this research was to study a performance measurement of fuzzy-p control chart and p-chart when the numbers of nonconforming was fuzzy data. In this research, different α levels were chosen by characteristics of products and processes at 0 < < 1. The performance of control chart was measured by the average run length (ARL) using Monte Carlo simulation (MC) when observations were binomial distribution repeating 50,000 times. The results showed that a performance measurement of fuzzy-p control chart and p-chart was not different when approached to 1 but when  was reduced, the width of control chart larger. Additionally, and also increased.