• DocumentCode
    2904036
  • Title

    Application of the TOPSIS Based on Entropy-AHP Weight in Nuclear Power Plant Nuclear-Grade Equipment Supplier Selection

  • Author

    Yang Guang ; Huang Wenjie

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Beijing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    633
  • Lastpage
    636
  • Abstract
    Nuclear power plants (NPPs) has their special characteristics, which both on product safety and on the life cycle of supplier, thus evaluation and selection of the equipment supplier requires independent evaluation index system, based on establishing an evaluation index system, an framework is proposed to address the supplier selection problem in NPP application of improved technique for order preference by similarity to ideal solution (TOPSIS) weighted by analytical hierarchy process (AHP) and entropy value, where it calculates all the indexespsila weights and the distances between the supplier and the ideal solution to find each supplierspsila closeness coefficient. Then the ranking of the suppliers are determined according to their results. Finally, for application and verification, an empirical study is performed to demonstrate the integrated model and identify the suitable supplier(s).
  • Keywords
    decision making; equipment evaluation; equipment selection; nuclear power stations; production equipment; purchasing; supply chain management; AHP; TOPSIS; analytical hierarchy process; entropy value; evaluation index system; nuclear power plants; nuclear-grade equipment supplier selection; product safety; Decision making; Entropy; Fitting; Pipelines; Power generation; Product safety; Production; Safety devices; Security; Valves; NPP equipment; TOPSIS; entropy-AHP; supplier selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.444
  • Filename
    5199774