• DocumentCode
    537709
  • Title

    Integrated Approach to Select Logistics Enterprise Based on Uncertainty Information

  • Author

    Ying, Wei ; Baoping, Ji ; Feng, Zhou ; Di, Zhang ; Yixiang, Liu

  • Author_Institution
    China Agric. Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 Nov. 2010
  • Firstpage
    627
  • Lastpage
    631
  • Abstract
    Since multifarious service will be provided by logistics enterprises, selecting an optimal logistics enterprise is one pivotal purpose of the manufacture enterprises. Considering the important uncertainty factors such as enterprise magnitude, transport capability and stockpile capability, an integrated approach (IA) based on the Data Envelopment Analysis (DEA) and Multi-Attribute Decision Making (MADM) was put forward, which could evaluate the logistics efficiency of the enterprises and select the optimal logistics enterprise reliably. At last, an enterprise selecting example was provided, and the result illuminated the approach was effective and feasible to select more optimal logistics enterprise.
  • Keywords
    data envelopment analysis; decision making; logistics; data envelopment analysis; enterprise magnitude; logistics enterprise selection; multi-attribute decision making; multifarious service; stockpile capability; transport capability; uncertainty information; DEA; Integrated Approach; Logistics Enterprise; MADM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
  • Conference_Location
    Haiko
  • Print_ISBN
    978-1-4244-8683-0
  • Type

    conf

  • DOI
    10.1109/ICOIP.2010.178
  • Filename
    5663164