Baharudin, F. and Mohamed, R. and Ismail, I. and Bala, A. (2018) Deployment of Six Sigma Methodology in Plant Data Analytics. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
In this paper, the six-sigma 6� 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. © 2018 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 1; Conference of 7th International Conference on Intelligent and Advanced System, ICIAS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143005 |
Uncontrolled Keywords: | Forecasting; Process monitoring; Six sigma; Work simplification, 6-sigma; Anomaly detection; Fault prediction; In-plant data; Industrial case study; Predictive control; Six-Sigma methodology, Process engineering |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:36 |
Last Modified: | 09 Nov 2023 16:36 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/9642 |