Teoh, L.E. and Ng, Kooi Huat and Ng, Kok Haur and Liew, Jeng Young and Ng, W.S. (2021) Change point detection in process control with robust individuals control chart. ITM Web of Conferences, 36. 01006. ISSN 2271-2097, DOI https://doi.org/10.1051/itmconf/20213601006.
Full text not available from this repository.Abstract
It is crucial to realize when a process has changed and to what extent it has changed, then it would certainly ease the task. On occasion that practitioners could determine the time point of the change, they would have a smaller search window to pursue for the special cause. As a result, the special cause can be discovered quicker and the necessary actions to improve quality can be triggered sooner. In this paper, we had demonstrated the use of so-called exploratory data analysis robust modified individuals control chart incorporating the M-scale estimator and had made some comparisons to the existing charts. The proposed modified robust individuals control chart which incorporates the M-scale estimator in order to compute the process standard deviation offers substantial improvements over the existing median absolute deviation framework. With respect to the application in real data set, the proposed approach appears to perform better than the typical robust control chart, and outperforms other conventional charts particularly in the presence of contamination. Thus, it is for these reasons that the proposed modified robust individuals control chart is preferred especially when there is a possible existence of outliers in data collection process.
Item Type: | Article |
---|---|
Funders: | Malaysia Fundamental Research Grant Scheme (FRGS), Universiti Tunku Abdul Rahman, UTAR |
Uncontrolled Keywords: | M-scale estimator; Robust individuals control chart; Standard deviation |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science |
Depositing User: | Ms. Juhaida Abd Rahim |
Date Deposited: | 18 Feb 2022 08:26 |
Last Modified: | 18 Feb 2022 08:26 |
URI: | http://eprints.um.edu.my/id/eprint/26318 |
Actions (login required)
View Item |