• DocumentCode
    3226435
  • Title

    Control Model of Regional Logistics Capability and Industrial Economy Based on Grey System

  • Author

    Zhou Tai ; Ye Huaizhen

  • Author_Institution
    Coll. of Logistics, Southwest Jiaotong Univ., Chengdu
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    626
  • Lastpage
    630
  • Abstract
    To effectively understand the impetus function of improving regional logistics capability in promoting regional economic growth and optimizing the industrial structure, the authors established a control model of regional logistics capability and industrial economy. First of all, the authors analyzed comprehensively the elements of regional logistics capability, and based on this chose three key elements as control variables; then by using the principle and method of grey system theory, the authors built a grey control system of regional logistics capability and industrial economy; finally, choosing Sichuan province of China as a regional sample, the authors calculated the actual parameter values of the model according to the raw data of Sichuan province from 1999 to 2005 and analyzed the calculated result. The case study indicates that the model can reflect the characteristics of the relation between regional logistics capability and industrial economy perfectly, and the result is reasonable and scientific.
  • Keywords
    grey systems; industrial control; industrial economics; logistics; grey control system; regional industrial economy; regional logistics capability; Communication industry; Construction industry; Control systems; Electrical equipment industry; Industrial control; Industrial economics; Industrial relations; Investments; Logistics; Telecommunication services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.280
  • Filename
    4659837