• DocumentCode
    2216235
  • Title

    Improved VIKOR Algorithm Based on AHP and Shannon Entropy in the Selection of Thermal Power Enterprise´s Coal Suppliers

  • Author

    Lihong, Ma ; Yanping, Zhang ; Zhiwei, Zhao

  • Author_Institution
    Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang
  • Volume
    2
  • fYear
    2008
  • fDate
    19-21 Dec. 2008
  • Firstpage
    129
  • Lastpage
    133
  • Abstract
    In order to select the thermal power enterprisepsilas coal suppliers properly, certain attributes of the suppliers should be carefully analysis. Supplier selection is a multi criteria problem which multi attributions of the suppliers should be considered. We models supplier evaluation problem as an MCDM problem. The VIKOR method was developed for multi-criteria optimization of complex systems. So the improved VIKOR algorithm used to evaluate the thermal power enterprisepsilas coal supplier was proposed. The weight was used to estimate the effect of the evaluated index on the evaluated subject. In order to avoid objective influencing factors, the weight was determined by using Shannon Entropy combined Analytic Hierarchy Process. A study shows that the evaluation was more objective, scientific and rational.
  • Keywords
    coal; decision making; electricity supply industry; entropy; operations research; thermal power stations; AHP; MCDM problem; Shannon entropy; VIKOR algorithm; analytic hierarchy process; multicriteria problem; supplier evaluation problem; supplier selection; thermal power enterprise coal suppliers; Educational institutions; Entropy; Fuel economy; Innovation management; Power generation; Power generation economics; Power supplies; Supply chain management; Thermal engineering; Thermal management; AHP; Shannon Entropy; VIKOR; thermal power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-0-7695-3435-0
  • Type

    conf

  • DOI
    10.1109/ICIII.2008.29
  • Filename
    4737616