A high breakdown point robust Phase I operation of process variability monitoring based on individual observations

Author

Salleh, Ruzitah Mohd ; Djauhari, Maman Abdurachman

Author_Institution

Dept. of Math., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2011

fDate

14-17 Sept. 2011

Firstpage

613

Lastpage

616

Abstract

This paper presents an improvement of data concentration process in FMCD algorithm in order to increase its computational efficiency. A simulation study indicates that the improved algorithm is promising in reducing the running time. This advantage will allow the users to use more efficiently that algorithm in multivariate analysis including in the development of a high breakdown point robust Phase I operation in monitoring manufacturing process quality based on individual observations. A real example in Phase I operation of process variability will be presented and discussed to illustrate the advantage of the proposed improved algorithm.

Keywords

covariance analysis; covariance matrices; manufacturing processes; process monitoring; quality management; FMCD algorithm; computational efficiency; data concentration process; fast minimum covariance determinant; high breakdown point robust Phase I operation; manufacturing process quality monitoring; multivariate analysis; process variability; Algorithm design and analysis; Computational complexity; Computational efficiency; Covariance matrix; Electric breakdown; Monitoring; Robustness; Mahalanobis distance; covariance determinant; multivariate normal distribution; statistical process control; vector variance;

fLanguage

English

Publisher

ieee

Conference_Titel

Quality and Reliability (ICQR), 2011 IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4577-0626-4

Type

conf

DOI

10.1109/ICQR.2011.6031613

Filename

6031613