American Journal of Theoretical and Applied Statistics

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Statistical Process Control Analysis Based on Software Q-Das

Received: 19 June 2014    Accepted: 05 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.

DOI 10.11648/j.ajtas.20140304.12
Published in American Journal of Theoretical and Applied Statistics (Volume 3, Issue 4, July 2014)
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), 2024. 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.
Author Information
  • Faculty of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

  • Faculty of Automotive Engineering, Shanghai University of Engineering Science, Shanghai, China

  • 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

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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://download.sciencepg.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
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    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
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    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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