High dimensional quality control chart: A case study of “Baju Kurung” manufacturing industry

There is a need for quality control chart that can cater for high dimension data set (n < p) in a real world application due to either limited number of productions (n) but high number of measurements of a product (p) or to minimize the cost for products quality testing. Therefore, monitoring th...

全面介紹

Saved in:
書目詳細資料
Main Authors: Sharif, Shamshuritawati, Ismail, Suzilah, Omar, Zurni
格式: Article
語言:English
出版: Research India Publications 2017
主題:
在線閱讀:http://repo.uum.edu.my/27956/1/IJAER%2012%2016%202017%205491%205494.pdf
http://repo.uum.edu.my/27956/
https://www.ripublication.com/Volume/ijaerv12n16.htm
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
實物特徵
總結:There is a need for quality control chart that can cater for high dimension data set (n < p) in a real world application due to either limited number of productions (n) but high number of measurements of a product (p) or to minimize the cost for products quality testing. Therefore, monitoring the quality process control in the case of dimension (p) is large relative to the number of sample (n) is a crucial part in statistical process control study. In this paper we propose S* control chart to do such analysis in multivariate process variability monitoring for “baju kurung” manufacturing industry in Malaysia. A case study where p=7 and n=5 is presented via control chart to illustrate the advantage of the proposed method. The findings reveal that the high dimensional quality control chart can assist in differentiating between in-control and out-of-control signals easily via multivariate statistical process control chart.