• DocumentCode
    498198
  • Title

    A Method for Selecting ERP System Based on Fuzzy Set Theory and Analytical Hierarchy Process

  • Author

    He, Lan ; Li, Congbo

  • Author_Institution
    Coll. of Electron. Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    329
  • Lastpage
    332
  • Abstract
    Enterprise resource planning (ERP) system can significantly improve future competitiveness and performance of a company, but it is also a critical investment and has a high failure probability. Thus, selecting an appropriate ERP system is very important. A method for selecting ERP system is proposed based on fuzzy set theory and analytical hierarchy process (AHP). The evaluation criteria system, including vendor brand, quality, price and service, is constructed, a multi-criteria decision-making model is formulated and the solution process is introduced in detail, that is, AHP is used to identify the weights of the criteria and fuzzy set theory is used to deal with the fuzzification of the criteria. An application example of ERP system selection demonstrates the feasibility of the proposed method.
  • Keywords
    decision making; enterprise resource planning; fuzzy set theory; pricing; ERP system; analytical hierarchy process; enterprise resource planning; evaluation criteria system; fuzzy set theory; multicriteria decision making model; price; quality; service; vendor brand; Companies; Costs; Decision making; Enterprise resource planning; Failure analysis; Fuzzy set theory; Information analysis; Intelligent systems; Quality function deployment; Software quality; Analytical hierarchy process; Enterprise resource planning; Fuzzy set theory; Selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.26
  • Filename
    5208964