• DocumentCode
    3082793
  • Title

    Manufacturing Execution Systems (MES) assessment and investment decision study

  • Author

    Chao, Liang ; Qing, Li

  • Author_Institution
    Tsinghua Univ., Beijing
  • Volume
    6
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    5285
  • Lastpage
    5290
  • Abstract
    Manufacturing execution systems (MES), a category of industrial software for the manufacturing environment, is grasping increasing attention, due to its unique ability to improve manufacturing performance, and then to have a positive impact on the financial performance of the company. For many executives, whether to implement MES to improve manufacturing and financial performance is an issue they must encounter. Since what MES brings about are not only benefits and potential opportunities, but also costs and potential risks, a comprehensive and systematic assessment is absolutely necessary before making such a critical investment decision. This paper proposes a decision methodology for MES investment decision making. In addition, a general decision model with respect to Benefits, Opportunities, Costs and Risks merits is provided. The decision methodology and decision model are validated by an undershirt manufacturer in China, by applying analytic network process (ANP) method.
  • Keywords
    decision making; investment; manufacturing systems; analytic network process method; comprehensive assessment; critical investment decision; decision methodology; industrial software; investment decision making; manufacturing execution systems assessment; systematic assessment; Chaos; Computer industry; Costs; Decision making; Investments; Manufacturing automation; Manufacturing industries; Personnel; Software performance; Virtual manufacturing; ANP; BOCR; Manufacture Execution systems; assessment; decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385148
  • Filename
    4274757