Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1437-1447 |
| Journal | Quality and Reliability Engineering International |
| Volume | 31 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 1 Dec 2015 |
Research Keywords
- average cycle run length
- circle chart
- extreme value distribution
- mean normalization
- periodic process maxima
Fingerprint
Dive into the research topics of 'Circle Chart for the Monitoring of Maxima in Periodic Processes'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver