• DocumentCode
    2914628
  • Title

    Study on the performance reverse logistics system for enterprises base on GA

  • Author

    Ming, Ni

  • Author_Institution
    East China Jiaotong Univ., Nanchang
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    1204
  • Lastpage
    1207
  • Abstract
    In order to solve the problem of the natural resource consumption which is threatening the human survival, it is essential to construct the reverse logistics system (RLS) in the global scope to acquire the circulation economy. In view of such four factors as the infrastructure of RLS, the level of utilization of RLS, the knowledge level of staff of RLS and the level of system ensures of RLS, the Model of performance appraising & optimizing of the reverse logistics system for enterprises (MPAORLSE) in this article are presented. The model is solved by means of genetic algorithms(GA), so its result has much more objectivity. This model can be used to direct enterprises to appraise its performance of RLS, or to compare the performance with that of its rival.
  • Keywords
    environmental factors; genetic algorithms; logistics; circulation economy; enterprise appraisal; genetic algorithm; natural resource consumption problem; reverse logistics system performance; Appraisal; Costs; Councils; Economic indicators; Genetics; Humans; Intelligent systems; Resonance light scattering; Reverse logistics; Waste management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443463
  • Filename
    4443463