A Multivariate Homogeneously Weighted Moving Average Control Chart
| Author | Adegoke, Nurudeen A. |
| Author | Abbasi, Saddam Akber |
| Author | Smith, Adam N. H. |
| Author | Anderson, Marti J. |
| Author | Pawley, Matthew D. M. |
| Available date | 2020-06-23T20:45:40Z |
| Publication Date | 2019 |
| Publication Name | IEEE Access |
| Resource | Scopus |
| ISSN | 21693536 |
| Abstract | This paper presents a multivariate homogeneously weighted moving average (MHWMA) control chart for monitoring a process mean vector. The MHWMA control chart statistic gives a specific weight to the current observation, and the remaining weight is evenly distributed among the previous observations. We present the design procedure and compare the average run length (ARL) performance of the proposed chart with multivariate Chi-square, multivariate EWMA, and multivariate cumulative sum control charts. The ARL comparison indicates superior performance of the MHWMA chart over its competitors, particularly for the detection of small shifts in the process mean vector. Examples are also provided to show the application of the proposed chart. - 2013 IEEE. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Average run length control chart manufacturing process quality control statistical process control |
| Type | Article |
| Pagination | 9586-9597 |
| Volume Number | 7 |
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Mathematics, Statistics & Physics [742 items ]