• DocumentCode
    536190
  • Title

    An evaluation method for coordinate level of concurrent project schedules based on grey correlation analysis

  • Author

    Zhang, Jie ; Li, Yuan ; Yu, Lian-Feng

  • Author_Institution
    Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    413
  • Lastpage
    416
  • Abstract
    A survey of multi-project environment on complex product manufacturing enterprises found that most concurrent project schedules can´t be implemented well together, and duration delay became a common phenomenon because of various coordinate reasons. Based on grey correlation analysis(GCA), the paper presented an evaluation method for coordinate level of concurrent project schedules, which provided an approach that project manager can quantify degree of influence for different project. In the method, firstly the factors that can influence coordinate level were defined by enterprise´s demand, and its weight was obtained by a quantitative mapping between mood arithmetic operators and binary comparison. Secondly, the reference and compare sequence were discussed according to project priority. Based on influence factors, the method for setting value of sequence was further explained. Finally a correlation coefficient was utilized in calculating grey correlation grade for concurrent project schedules, which was a quantized value of coordinate level. Furthermore, an example on aircraft industry was used to prove the feasibility and validity of method.
  • Keywords
    enterprise resource planning; grey systems; manufacturing resources planning; project management; complex product manufacturing enterprise; concurrent project scheduling; coordinate level evaluation method; grey correlation analysis; mood arithmetic operator; multiproject management; Electronic mail; Manufacturing; Schedules; concurrent project schedules; coordinate level evaluation; grey correlation analysis; multi-project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658321
  • Filename
    5658321