Statistical Process Control Analysis Based on Software Q-Das

Wu Guoqing; Luo Yiping; Ren Hongjuan

doi:doi:10.11648/j.ajtas.20140304.12

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Statistical Process Control Analysis Based on Software Q-Das

Wu Guoqing, Luo Yiping, Ren Hongjuan

Published in American Journal of Theoretical and Applied Statistics (Volume 3, Issue 4)

Received: 19 June 2014 Accepted: 5 July 2014 Published: 20 July 2014

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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.

Published in	American Journal of Theoretical and Applied Statistics (Volume 3, Issue 4)
DOI	10.11648/j.ajtas.20140304.12
Page(s)	90-95
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2014. Published by Science Publishing Group

Keywords

Statistical Process Control, Q-Das Software, Evaluation Method

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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APA Style

Wu Guoqing, Luo Yiping, Ren Hongjuan. (2014). Statistical Process Control Analysis Based on Software Q-Das. American Journal of Theoretical and Applied Statistics, 3(4), 90-95. https://doi.org/10.11648/j.ajtas.20140304.12

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ACS Style

Wu Guoqing; Luo Yiping; Ren Hongjuan. Statistical Process Control Analysis Based on Software Q-Das. Am. J. Theor. Appl. Stat. 2014, 3(4), 90-95. doi: 10.11648/j.ajtas.20140304.12

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AMA Style

Wu Guoqing, Luo Yiping, Ren Hongjuan. Statistical Process Control Analysis Based on Software Q-Das. Am J Theor Appl Stat. 2014;3(4):90-95. doi: 10.11648/j.ajtas.20140304.12

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@article{10.11648/j.ajtas.20140304.12,
  author = {Wu Guoqing and Luo Yiping and Ren Hongjuan},
  title = {Statistical Process Control Analysis Based on Software Q-Das},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {3},
  number = {4},
  pages = {90-95},
  doi = {10.11648/j.ajtas.20140304.12},
  url = {https://doi.org/10.11648/j.ajtas.20140304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20140304.12},
  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.},
 year = {2014}
}

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TY  - JOUR
T1  - Statistical Process Control Analysis Based on Software Q-Das
AU  - Wu Guoqing
AU  - Luo Yiping
AU  - Ren Hongjuan
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajtas.20140304.12
DO  - 10.11648/j.ajtas.20140304.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 90
EP  - 95
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20140304.12
AB  - 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.
VL  - 3
IS  - 4
ER  -

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Author Information

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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APA Style

Wu Guoqing, Luo Yiping, Ren Hongjuan. (2014). Statistical Process Control Analysis Based on Software Q-Das. American Journal of Theoretical and Applied Statistics, 3(4), 90-95. https://doi.org/10.11648/j.ajtas.20140304.12

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ACS Style

Wu Guoqing; Luo Yiping; Ren Hongjuan. Statistical Process Control Analysis Based on Software Q-Das. Am. J. Theor. Appl. Stat. 2014, 3(4), 90-95. doi: 10.11648/j.ajtas.20140304.12

Copy | Download

AMA Style

Wu Guoqing, Luo Yiping, Ren Hongjuan. Statistical Process Control Analysis Based on Software Q-Das. Am J Theor Appl Stat. 2014;3(4):90-95. doi: 10.11648/j.ajtas.20140304.12

Copy | Download

@article{10.11648/j.ajtas.20140304.12,
  author = {Wu Guoqing and Luo Yiping and Ren Hongjuan},
  title = {Statistical Process Control Analysis Based on Software Q-Das},
  journal = {American Journal of Theoretical and Applied Statistics},
  volume = {3},
  number = {4},
  pages = {90-95},
  doi = {10.11648/j.ajtas.20140304.12},
  url = {https://doi.org/10.11648/j.ajtas.20140304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.20140304.12},
  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.},
 year = {2014}
}

Copy | Download

TY  - JOUR
T1  - Statistical Process Control Analysis Based on Software Q-Das
AU  - Wu Guoqing
AU  - Luo Yiping
AU  - Ren Hongjuan
Y1  - 2014/07/20
PY  - 2014
N1  - https://doi.org/10.11648/j.ajtas.20140304.12
DO  - 10.11648/j.ajtas.20140304.12
T2  - American Journal of Theoretical and Applied Statistics
JF  - American Journal of Theoretical and Applied Statistics
JO  - American Journal of Theoretical and Applied Statistics
SP  - 90
EP  - 95
PB  - Science Publishing Group
SN  - 2326-9006
UR  - https://doi.org/10.11648/j.ajtas.20140304.12
AB  - 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.
VL  - 3
IS  - 4
ER  -

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