Discrete Manufacturing Plant Quality Control System Based on SPC

Ji Tao Fang; Wei Wei Deng; Hui Wang

doi:10.4028/www.scientific.net/AMR.711.468

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 711Discrete Manufacturing Plant Quality Control...

Discrete Manufacturing Plant Quality Control System Based on SPC

Abstract:

The discrete manufacturing plant is the basic of executing enterprises agile manufacture strategy, between enterprise upper management systems and manufacturing process control systems. The constitute structure and the software model of a workshop integrated quality control system is introduced by this paper. The methods and technologies of traditional workshop management cant meet current needs of enterprises. The field management and workshop information integration are given more and more attention by enterprises. In contrary to conventional SPC applications, manufacturing plant based unmanned manufacturing environments require automation of the quality control process. The system is suitable for the production process quality analysis and judgment in the discrete manufacturing plant environment. It can significantly increase the product quality and economic efficiency of enterprises.

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Periodical:

Advanced Materials Research (Volume 711)

Pages:

468-472

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.711.468

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Online since:

June 2013

Authors:

Ji Tao Fang, Wei Wei Deng, Hui Wang

Keywords:

Data Integration, Manufacturing Information, Quality Control, Statistical Process Control

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References

[1] Zhang Yu, YANG Musheng, LI Xiaopei. Research on quality evaluation indices system for variables of manufacturing processes[C], Proceedings of the 6th International Conference on Frontiers of Design and Manufacturing, 2004: 879-880．

Google Scholar

[2] Fang Jitao, Wang Hui, Lv Jie. The Development of Discrete Manufacturing Plant Information Integration System[C]. IEEE MACE 2012:1882-1885.

Google Scholar

[3] Hui Wang, Guifu Li. Research on Quality Control Technology of Capacity Flexibility Oriented to Multi-Specification& Small Batch[C]. IEEE WiCOM2008:1024-1028.

Google Scholar

[4] Zhang Yu, Yang Musheng. The Research on Quality oriented Statistical Tolerancing Technique[C]. Proceedings of the 5th International Conference on Frontiers of Design and Manufacturing. 2002: 397-402.

Google Scholar

[5] Hui Wang, Gangyan Li, Guifu Li. Research on Quality Control Technology in Manufacturing Process Based on Flexibility of Production Capability[C]. IEEE WiCOM 2007: 89-93.

Google Scholar

[6] Fang Jitao, Yu Shusong, Ding Xiangqian.Development of MES-based workshop integrated quality monitoring system[C]. ICAL 2008.216-220.

DOI: 10.1109/ical.2008.4636149

Google Scholar