• DocumentCode
    2345467
  • Title

    Found Dual Network Model of Network Planning

  • Author

    Su, Zhixiong ; Qi, Jianxun ; Wang, Qiang

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Beijing, China
  • fYear
    2011
  • fDate
    15-19 April 2011
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    Network planning technology is important to project management. But in practice, the technology is often hardly to be used directly to solve correlative problems successfully and need to be improved. For optimization problem, it could be simplified by transforming programming model to dual model generally. In addition, for many problems which correlate to network planning, duration and path length etc are not directly correlative to solving process, but essential elements are float and path difference which are correlative to solving process closely and need to be key objects. And furthermore, properties of network planning are mainly represented by float and path float. Therefore, base on advantage and theory of dual, and by studying on relation between float and path float, firstly, path float theorem is deduced, secondly, dual network model is founded based on the theorem, and finally, properties of dual network model are analyzed, specially relation between network planning model and dual network model is revealed. The dual network model cleans interference of non-essential elements such as duration and path length availably, and emphasizes float and path float.
  • Keywords
    operations research; optimisation; planning; project management; dual network model; float difference; network planning technology; operational research; optimization problem; path difference; programming model; project management; Analytical models; Artificial neural networks; Computational modeling; Interference; Optimization; Planning; Safety; dual network model; float; network planning model; operational research; path float;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
  • Conference_Location
    Yunnan
  • Print_ISBN
    978-1-4244-9712-6
  • Electronic_ISBN
    978-0-7695-4335-2
  • Type

    conf

  • DOI
    10.1109/CSO.2011.307
  • Filename
    5957717