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Real-Time Control Chart for Maltivariate Statistical Process Control System

Lau, Meng Cheng, and Yuwaldi Away, and Mohammad Khatim Hasan, and Noormala Mohd Yusof , (2004) Real-Time Control Chart for Maltivariate Statistical Process Control System. In: Proceedings of the Joint Conference on Informatics and Research on Women in ICT (RWICT) 2004 , 28 - 30 July 2004 , Putra World Trade Center, Kuala Lumpur, Malaysia .

Full text not available from this repository.

Affiliations

Universiti Kebangsaan Malaysia.Faculty of Information Science and Technology ,Department of Industrial Computing

Abstract

This paper deals with the area ofthe process monitoring and control in multivariate quality with a proposed system prototype. The proposed prototype unifies two existing MSPC techniques which is Hotelling's T and MEWMA control charts. An architecture of real time MSPC system and it's algorithm is also propose in this paper for subgroup data and individual observation scenarios. A simple application prototype is developed to compute the Hotelling's T and MEWMA control chart.

Item Type:Conference or Workshop Item (Paper)
Keywords:MSPC (multivariate statistical process control); Hotelling's T^; MEWMA (multivariate exponentially weighted moving average): real-time.
Subjects:Q Science
ID Code:1209

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[10] Montgomery, D.C. Introduction to Statistical Quality Control, Ed. Ke-4. United States of America: John Wiley & Sons, Inc, 2001.

[11] RAID A. AL-IMAM. Neuro-Fuzzy Model for Classifying and Monitoring Multivariate Attribute Proceses. Agilent Technologies, 2002.

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