Statistical Process Control Analysis Based on Software Q-Das
American Journal of Theoretical and Applied Statistics
Volume 3, Issue 4, July 2014, Pages: 90-95
Received: Jun. 19, 2014; Accepted: Jul. 5, 2014; Published: Jul. 20, 2014
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Authors
Wu Guoqing, Faculty of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China
Luo Yiping, Faculty of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China
Ren Hongjuan, Faculty of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China
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Abstract
The software Q-das used in statistical analysis of the production process can realize the real-time monitoring during the production process. So as to effectively support the needs of the factory in data management, long-term backup and automatic report generation. This paper tells some specific evaluation method of statistical quality control, such as single value chart, control charts, process capability index, etc. Through these configurations of figures, tables, and statistical analysis, “correctly observe” the entire production process. Control and suppress the fluctuations that occur during production. At last, this paper tells the Q-das software in statistical process control analysis application based on a specific example.
Keywords
Statistical Process Control, Q-Das Software, Evaluation Method
To cite this article
Wu Guoqing, Luo Yiping, Ren Hongjuan, Statistical Process Control Analysis Based on Software Q-Das, American Journal of Theoretical and Applied Statistics. Vol. 3, No. 4, 2014, pp. 90-95. doi: 10.11648/j.ajtas.20140304.12
References
[1]
Tian Xuemin, Cao Yuping. Research Status and Prospect of statistical process, control. Journal of China University of petroleum (Natural science edition), 2008, 32(5):175-180.
[2]
Jiang Wei. The applications and development trends of Q-DAS software in the, quality control of the production. Automotive Technology, 2009(2).
[3]
Technology and Research Center of China Automotive Company translate. Statistical Process Control (SPC) Reference Manual. Revision Working Group of Chinese version QS-9000 and supporting manual, 2000.5, 2nd Edition.
[4]
Long Kejun. Research and Application of the Computer-aided statistical process control (SPC). Technology Vision, 2013(31), 83-84.
[5]
Gao Qisheng. Application of Quality Engineering and Control. PhD thesis of Northeastern University, 1999.10.
[6]
Zhao Xu. Process monitoring and quality control methods based on statistical, PhD thesis of Shanghai Jiaotong University, 2006.11.
[7]
Zheng Weiwei. Intelligent system of process quality control and method. PhD thesis of Northwestern Polytechnical University, 2006.11.
[8]
Li Mengqing, Chen Zhixiang. Comprehensive identification methods of the trend patterns of quality control chart [J].Journal of Huazhong University of science, 2000, 28(5):24-26.
[9]
Liu Guangdi. Quality Management [M], Beijing, Tsinghua University Press, 2003.
[10]
Qian Xiyuan, Jing Jianfen, Hou Xuxian. Research of statistical process control (SPC) and its application [J]. Computer Engineering, 2004, 30 (19) : 144-145.
[11]
Leif Sjoblom. Quality Control by Prevention : A Field Study of an SPC and DOE Implementation[J]. Quality Engineering, 1996-1997, 9(1):51-63.
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