• DocumentCode
    2814086
  • Title

    A Dynamic Business Processes´ Multi-Objective Simulation Model

  • Author

    Quan, Liang ; Tian, Guo-shuang

  • Author_Institution
    Economic & Manage. Coll., North-east Forestry Univ., Harbin, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Generally, the environment and enterprises´ condition are not stable, in order to promote the enterprises´ competitive power, managers must continuously improve the business processes´ performance. Based on the simulation method and multi-objective optimization theory, the thesis builds a dynamic multi-objective optimization model for business process optimization. Firstly the framework of optimization model is introduced, the framework include logic of the simulation process and parameters´ selection. Secondly, a business process´s performance review model is given for evaluation, and also point out that there is a balanced point among time, cost and quality, and the point can help us to find the optimal design of business process. Finally, the thesis provide a experiment to verify the validity of the model put forward by the thesis, and the result prove that the model is effective in optimization of business process.
  • Keywords
    business process re-engineering; corporate modelling; simulation; business process optimal design; business process optimization; business process performance review model; enterprises competitive power; multi-objective optimization theory; multi-objective simulation model; simulation parameter selection; Cost function; Educational institutions; Energy management; Environmental economics; Environmental management; Forestry; Logic; Optimization methods; Power generation economics; Process design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363176
  • Filename
    5363176