THE PERFORMANCE OF FUZZY CONTROL CHART FOR MONITORING PROCESS MEAN AND VARIABILITY
The traditional control chart and fuzzy control chart are used to monitor the process mean and variability. The fuzzy control chart was developed by using fuzzy rules for precision manufacturing. The objective of this research is to compare the efficiency of traditional and fuzzy control charts between traditional method and fuzzy method based on normal distribution. The fuzzy data based on normal distribution with mean and variance and the sample size (n) of 5, 10 and 15. The criteria to evaluate the performance of control chart is the average run length for out-of-control process The better performance of process is considered with the minimum results of The average run length values are obtained from Monte Carlo simulation technique, repeated 5000 times for each case. The results show that fuzzy control chart is more effective than traditional control chart for all magnitude of mean shifts.
traditional control chart, fuzzy control chart, average run length, normal distribution.