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International Conference on Intelligent Computing

ICIC 2006: Computational Intelligence pp 102–107Cite as

A Study of Product Development Time Based on Fuzzy Timed Workflow Net

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4114))

Abstract

It is necessary to find the relationship between product information and development process for saving product development time. Design information constraint tree (DICT) is proposed to describe the constraint relationships among multi-task information. Fuzzy timed workflow net (FTWN) is introduced to analyze product development time. An algorithm is proposed to map DICT onto FTWN. Task execution time and completion possibility are analyzed. The effectiveness of the proposed method to simulate product development time is validated by an example.

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Author information

Authors and Affiliations

  1. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 610054, China

    Xianfeng Fan, Hong-Zhong Huang, Jun Hu, Xu Zu & Ping Yang

  2. Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada

    Xianfeng Fan

Authors
  1. Xianfeng Fan
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  2. Hong-Zhong Huang
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  3. Jun Hu
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  4. Xu Zu
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  5. Ping Yang
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines , Chinese Academy of Sciences , Anhui, Hefei, China

    De-Shuang Huang

  2. Queen’s University , Belfast, UK

    Kang Li  & George William Irwin  & 

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Fan, X., Huang, HZ., Hu, J., Zu, X., Yang, P. (2006). A Study of Product Development Time Based on Fuzzy Timed Workflow Net. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence. ICIC 2006. Lecture Notes in Computer Science(), vol 4114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37275-2_12

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  • DOI: https://doi.org/10.1007/978-3-540-37275-2_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37274-5

  • Online ISBN: 978-3-540-37275-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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