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Proceedings Paper

Intelligent process quality control system into supply chain
Author(s): Shijie Wang; Xingyu Jiang; Yingchun Wang
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Paper 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.

Paper Details

Date Published: 22 January 2010
PDF: 9 pages
Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 75000C (22 January 2010); doi: 10.1117/12.858446
Show Author Affiliations
Shijie Wang, Shenyang Univ. of Technology (China)
Xingyu Jiang, Shenyang Univ. of Technology (China)
Yingchun Wang, Shenyang Univ. of Technology (China)

Published in SPIE Proceedings Vol. 7500:
ICMIT 2009: Mechatronics and Information Technology
Jeha Ryu; Kil To Chong; Ryojun Ikeura; Qingkai Han, Editor(s)

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