Open AccessDevelopment of U control chart by variable sample size and sampling interval to improve the statistical properties
Author(s) -
Shojaie Mohsen,
Imani Din Mohammad
Publication year - 2021
Publication title -
engineering reports
Language(s) - English
Resource type - Journals
ISSN - 2577-8196
DOI - 10.1002/eng2.12351
Subject(s) - control chart , statistics , statistical process control , sample size determination , chart , sampling (signal processing) , mathematics , \bar x and r chart , variable (mathematics) , control limits , computer science , process (computing) , filter (signal processing) , computer vision , operating system , mathematical analysis
It has been proved that the quality control charts with variable sampling schemes are more effective than the classical ones in improving statistical measures. The Average Number of False Alarms (ANF), Average Number of Samples (ANS), Average Number of Inspected Items (ANI), and Adjusted Average Time to Signal (AATS) have been the most important statistical measures always being attending in the evaluation of control charts. Thus, this study was conducted aiming at illustrating a comprehensive analytical review on the U control chart via the statistical measures. To this end, different levels of the possible factors were determined, and the results of calculating the statistical measures and the obtained parameters on the sampling schemes of the U control chart were presented. The results indicated that the variable U control charts were capable of improving the effectiveness of statistical measures, especially for detecting shifts and number of false alarms.