Abstract
Control chart is widely used to monitor the quality of products of industrial or business processes. Max-CUSUM and Max-EWMA are based on memory-type control charts that monitor the process mean and standard deviation simultaneously. This article introduces four new control charts that monitor the process mean and dispersion simultaneously. The proposed control charting schemes are compared with the existing counterparts including Max-EWMA, Max-CUSUM, SS-EWMA, and SS-CUSUM. A case study is presented for practical considerations using a real dataset.
| Original language | English |
|---|---|
| Pages (from-to) | 3423-3438 |
| Number of pages | 16 |
| Journal | Scientia Iranica |
| Volume | 24 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Nov 2017 |
Bibliographical note
Publisher Copyright:© 2017 Sharif University of Technology. All rights reserved.
Keywords
- Average run length
- Control chart
- Location and dispersion parameters
- Max-chart
- Normality
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Chemistry (miscellaneous)
- Civil and Structural Engineering
- Materials Science (miscellaneous)
- General Engineering
- Mechanical Engineering
- Physics and Astronomy (miscellaneous)
- Industrial and Manufacturing Engineering