Design of a Variable Sampling Interval EWMA Median Control Chart

Nguyễn Thị Hiền - Division of Artificial Intelligence, Dong A University, Danang, Vietnam

International Journal of Reliability, Quality and Safety Engineering - Q3

Abstract

In the literature, median type control charts have been widely investigated as easy and efficient means to monitor the process mean when observations are from a normal distribution. In this work, a Variable Sampling Interval (VSI) Exponentially Weighted Moving Average (EWMA) median control chart is proposed and studied. The Markov chains are used to calculate the average run length to signal (ARL). A performance comparison with the original EWMA median control chart is made. The numerical results show that the proposed chart is considerably more effective as it is faster in detecting process shifts. Finally, the implementation of the proposed chart is illustrated with an example in food production process.

DOI: https://doi.org/10.1142/S0218539319500219