• DocumentCode
    1831065
  • Title

    The urban bus supplier selection aided by AHP and additive scoring model

  • Author

    Blaszczyk, T. ; Wachowicz, T.

  • Author_Institution
    Dept. of Oper. Res., Karol Adamiecki Univ. of Econ., Katowice, Poland
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    1722
  • Lastpage
    1726
  • Abstract
    The Analytic Hierarchy Process is a proven and widely applied Multiple Criteria Decision Making method. In this paper we described an application of this approach to the problem of supplier selection in municipal bus transport company. The set of evaluation criteria included both quantitative and qualitative data bounded with financial, technical and political expectations. We investigated requirements of both company´s managerial board and technical staff. The final decision in the described real-life case was made on the basis of law of public tenders restrictions. This paper describes the decision making procedure with tender results comparison and discussion. The aim of this research was to identify the preference structure of the company´s management board and technical staff and to collate this preferences with the results of tender procedure.
  • Keywords
    decision making; operations research; public utilities; transportation; AHP; additive scoring model; analytic hierarchy process; company managerial board; multiple criteria decision making method; municipal bus transport company; technical staff; urban bus supplier selection; Additives; Biological system modeling; Companies; Decision making; Europe; Gears; Vehicles; AHP; additive scoring; model; public transport; supplier selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674580
  • Filename
    5674580