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On-Line Measurement of Production Plan Track Based on Extension Matter-Element Theory

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

Based on the features of production plan and control in core enterprise under supply chain, according to extension matter-element theory, the paper presents an automatic on-line measuring method of distributed production plan track using the multi-sensor and a new extension measurement method which has two BP networks for realizing the compensation of the measurable matter-element and matter-element transform respectively and uses the D-S Evidence theory for matter-element focus to realize the machining accuracy data of a working procedure that has finished justly and the faults of the machine tools and cutting-tools etc. By the data and the faults, it will reschedule Job-Shop production plan, so as to realize the right time to finish the production plan and to supply data guarantee for the production plan and control in core enterprise under supply chain. The result presented shows that the method is feasible and efficient.

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Author information

Authors and Affiliations

  1. Northwestern Polytechnical University, Xi’an, 710072, China

    Zhi-Lin Sheng, Song-Zheng Zhao & Xin-Zheng Qi

  2. Chang’an University, Xi’an, 710064, China

    Chen-Xi Wang

Authors
  1. Zhi-Lin Sheng
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  2. Song-Zheng Zhao
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  3. Xin-Zheng Qi
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  4. Chen-Xi Wang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Sheng, ZL., Zhao, SZ., Qi, XZ., Wang, CX. (2006). On-Line Measurement of Production Plan Track Based on Extension Matter-Element Theory. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_132

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  • DOI: https://doi.org/10.1007/11760191_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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