Open AccessDetermination of sample size of control chart based on APQ
Author(s) -
Huizhen Zhao,
Lili Meng,
Caihua Wang,
Xiaofeng Sun
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/769/4/042068
Subject(s) - sample size determination , control chart , chart , computer science , sample (material) , statistics , shewhart individuals control chart , quality (philosophy) , control limits , control (management) , statistical process control , process (computing) , reliability engineering , mathematics , engineering , ewma chart , artificial intelligence , philosophy , chemistry , chromatography , epistemology , operating system
The SPC control chart is an important quality tool to determine whether there are abnormalities in the production process. When making control charts, the sample size is generally selected based on experience, which has certain limitations. To determine the sample size more accurately, the average run length (ARL) is used to measure the quality characteristics of the control chart, and the relationship between the average run length and the two types of errors is analysed to establish an APQ-based sample size related mathematical model. The model is analysed using Minitab software and Excel to finally determine the appropriate sample size scale for different cases.