• DocumentCode
    2545101
  • Title

    Select operational decision solutions in manufacturing enterprises based on the fuzzy analytic network process

  • Author

    Ying, Yang

  • Author_Institution
    Glorious Sun Sch. of Bus. & Manage., Donghua Univ., Shanghai, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    The strategic operational decision solutions will affect the enterprise´s development on the long run. This research analyzes the evaluation of manufacturing enterprises´ decision solutions from strategic aspect. The strategic decision solution´s making is mainly based on the goal of competency enhancement. Different competitive strategy combination will bring different profit for the enterprise, and there are dependences among different strategies. This research has designed a model based on ANP to solve the operational decisions evaluation problem in manufacturing enterprises. Because of the values of indicators and attributes are vague and uncertain, this research combined ANP with fuzzy theory. A case study shows that this model can provide decision support for the decision makers under different competitive environments.
  • Keywords
    competitive intelligence; decision making; fuzzy set theory; manufacturing industries; profitability; strategic planning; competency enhancement; competitive environment; competitive strategy combination; decision support; enterprise development; fuzzy analytic network process; fuzzy theory; manufacturing enterprise; profit; strategic operational decision solution; Business; Decision making; Educational institutions; Environmental economics; Fuzzy set theory; Fuzzy sets; Manufacturing processes; Sun; Textiles; Virtual manufacturing; decision solutions evaluation; fuzzy ANP; manufacturing enterprises; strategic management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477673
  • Filename
    5477673