• DocumentCode
    2165275
  • Title

    Logistics supplier selection by BP neural network

  • Author

    Shi, Cheng-dong ; Bian, Dun-xin ; Zhang, Cun-shan

  • Volume
    3
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    579
  • Lastpage
    582
  • Abstract
    In order to select appropriate logistics suppliers, and by using of advantages of BP neural networks with self-organizing, self-learning, anti-interference, etc. a logistics supplier selection model was constructed, and an integrated logistics suppliers´ capacity (performance) evaluation BP neural network was established, also, BP algorithm was designed. Then an example with twenty-three listed logistics suppliers´ data in 2007 was studied. The example shows that the selection model is able to identify the evaluation level and size of alternative logistics suppliers, and provides an effective approach for selection of logistics suppliers.
  • Keywords
    backpropagation; logistics; logistics data processing; BP neural network; capacity evaluation; logistics supplier selection; performance evaluation; Appropriate technology; Companies; Consumer electronics; Design engineering; Feedforward neural networks; Logistics; Multi-layer neural network; Neural networks; Outsourcing; Standardization; BP algorithm; BP neural network; logistics supplier; selection model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451820
  • Filename
    5451820