Paper
22 January 2010 Intelligent process quality control system into supply chain
Shijie Wang, Xingyu Jiang, Yingchun Wang
Author Affiliations +
Proceedings Volume 7500, ICMIT 2009: Mechatronics and Information Technology; 75000C (2010) https://doi.org/10.1117/12.858446
Event: ICMIT 2009: Mechatronics and Information Technology, 2009, Gwangju, Korea, Republic of
Abstract
To cope with the challenges of monitoring dynamic and variable quality variation into supply chain, diagnosing the abnormal variation at the right moment, is a difficult problem that a enterprise in supply chain faces in process quality control. An intelligent process quality control mode into supply chain, which integrated quality prevention, analysis, diagnosis and adjustment, and corresponding functional modules and framework were all put forward. This mode dealt mainly with constructing and running intelligent quality control system, such as the theory of similarity manufacturing, Statistical Process Control (SPC), neural network. Furthermore, some key enabling technologies were studied in detail, including process quality analysis on-line based on similarity process and process quality diagnosis based on Elman and expert system of process quality adjustment. It is basis of realizing network, intelligent and automatic process quality control into supply.
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Shijie Wang, Xingyu Jiang, and Yingchun Wang "Intelligent process quality control system into supply chain", Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 75000C (22 January 2010); https://doi.org/10.1117/12.858446
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KEYWORDS
Process control

Control systems

Inspection

Statistical analysis

Data processing

Manufacturing

Neurons

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