Article ID: | iaor2016346 |
Volume: | 31 |
Issue: | 8 |
Start Page Number: | 1437 |
End Page Number: | 1447 |
Publication Date: | Dec 2015 |
Journal: | Quality and Reliability Engineering International |
Authors: | Xie Min, Goh Thong Ngee, Cheng Yuan, Deng Peipei |
Keywords: | simulation, statistics: distributions |
An important process characteristic is process maxima as it is often an important quality or performance parameter. Such measurements often play a vital role in process analysis and have to be monitored carefully. In this paper, we consider the problem of monitoring process maxima when the process exhibits a kind of periodicity. A circle chart for periodical process maxima with or without seasonal patterns monitoring is developed and studied, by modeling the process maxima using the extreme value distribution. Mean normalization is applied for periodic process monitoring with seasonal patterns to facilitate comparison between different sections and periods. The average cycle run length is proposed to measure charting efficiency.