• DocumentCode
    481706
  • Title

    Comprehensive Evaluation of Logistics System Efficiency Based on the Integrated DEA/BPN Model

  • Author

    Xia, Weihuai ; Chen, Zhiya

  • Author_Institution
    Sch. of Traffic & Transp., Central South Univ., Changsha
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    227
  • Lastpage
    231
  • Abstract
    In management science, intelligent management that combines artificial intelligence with management science is an important research direction of management science. The efficiency question is the core of logistics system management, this paper analyses the operation efficiency of its every subsystem and set up index system of comprehensive evaluating logistics system efficiency (LSE). From the view of Benchmarking management and the principle of intelligent management, an integrated DEA/BPN model for evaluating LSE is constructed. And then, this model is applied to the evaluation an example (a domestic large-scale logistics group) with real data. The results show that the average testing error of the integrated DEA/BPN model is reduced about 89% in comparison with that of the traditional BPN model. The study conclusions indicate that the integrating DEA/BPN model set up of this paper can evaluate LSE and provide the improving direction and method for the enterprise or department of ineffective DEA in system, and further forecast prospect through training formal fingers.
  • Keywords
    data envelopment analysis; logistics; management science; artificial intelligence; index system; intelligent management; logistics system efficiency evaluation; logistics system management; management science; Artificial neural networks; Competitive intelligence; Computational intelligence; Computer industry; Conferences; Data envelopment analysis; Knowledge management; Logistics; Management training; Quality management; Comprehensive evaluation; Efficiency; Index system; Integrated DEA/BPN model; Logistics system management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.362
  • Filename
    4756557