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 < α < 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 α approached to 1 but when α was reduced, the width of
control chart larger. Additionally, ARL0 and ARL1 also increased.
Keywords
level, average run length, fuzzy–p control chart, p-chart