Deployment of Six Sigma Methodology in Plant Data Analytics

Fauzan Baharudin; Rasidi Mohamed; Idris Ismail; Abubakar Bala

doi:10.1109/ICIAS.2018.8540597

Deployment of Six Sigma Methodology in Plant Data Analytics

Fauzan Baharudin, Rasidi Mohamed, Idris Ismail, Abubakar Bala

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, the six-sigma 6σ methodology is combined with a measure-validate-predict (MVP) method. The methodology can predict faults before they occur in industry. Three industrial case studies of the application of the technique is presented.

Original language	English
Title of host publication	International Conference on Intelligent and Advanced System, ICIAS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538672693
DOIs	https://doi.org/10.1109/ICIAS.2018.8540597
State	Published - 19 Nov 2018
Externally published	Yes

Publication series

Name	International Conference on Intelligent and Advanced System, ICIAS 2018

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Anomaly detection
Fault prediction
Predictive control
Six-Sigma

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology
Health Informatics

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10.1109/ICIAS.2018.8540597

Cite this

Baharudin, F., Mohamed, R., Ismail, I., & Bala, A. (2018). Deployment of Six Sigma Methodology in Plant Data Analytics. In International Conference on Intelligent and Advanced System, ICIAS 2018 Article 8540597 (International Conference on Intelligent and Advanced System, ICIAS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIAS.2018.8540597

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keywords = "Anomaly detection, Fault prediction, Predictive control, Six-Sigma",

author = "Fauzan Baharudin and Rasidi Mohamed and Idris Ismail and Abubakar Bala",

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Deployment of Six Sigma Methodology in Plant Data Analytics. / Baharudin, Fauzan; Mohamed, Rasidi; Ismail, Idris et al.
International Conference on Intelligent and Advanced System, ICIAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8540597 (International Conference on Intelligent and Advanced System, ICIAS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Deployment of Six Sigma Methodology in Plant Data Analytics

AU - Baharudin, Fauzan

AU - Mohamed, Rasidi

AU - Ismail, Idris

AU - Bala, Abubakar

PY - 2018/11/19

Y1 - 2018/11/19

N2 - In this paper, the six-sigma 6σ methodology is combined with a measure-validate-predict (MVP) method. The methodology can predict faults before they occur in industry. Three industrial case studies of the application of the technique is presented.

AB - In this paper, the six-sigma 6σ methodology is combined with a measure-validate-predict (MVP) method. The methodology can predict faults before they occur in industry. Three industrial case studies of the application of the technique is presented.

KW - Anomaly detection

KW - Fault prediction

KW - Predictive control

KW - Six-Sigma

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DO - 10.1109/ICIAS.2018.8540597

M3 - Conference contribution

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T3 - International Conference on Intelligent and Advanced System, ICIAS 2018

BT - International Conference on Intelligent and Advanced System, ICIAS 2018

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Deployment of Six Sigma Methodology in Plant Data Analytics

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this