• DocumentCode
    479145
  • Title

    Optimal Scheduling of Resources Based on Fuzzy Set and Genetic Algorithm

  • Author

    Yu, Tianbiao ; Zhao, Kai ; Xu, Feng ; Du, Jianwei ; Wang, Wanshan

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to promote the cooperation between enterprises in networked manufacturing alliance enterprise, and make development and manufacture resource optimally collocate and share among alliance enterprises, and raise the rate of alliance enterprise´s development and the utilization of manufacture resource, and reduce the waste for repetitive investment, fuzzy assignment as well as genetic algorithm are adopted in the research of optimal scheduling of resources. Optimal scheduling of product development resources have been described, and mathematical model of optimal scheduling of product development resources have been established. The solving method combining of fuzzy assignment and genetic algorithm has offered according to different objective function. Simulation analysis is used on model and solution algorithm verifying the correctness of theoretical research.
  • Keywords
    commerce; fuzzy set theory; genetic algorithms; investment; fuzzy assignment; fuzzy set; genetic algorithm; networked manufacturing alliance enterprise; optimal resource scheduling; repetitive investment; Fuzzy sets; Genetic algorithms; Job shop scheduling; Manufacturing automation; Mathematical model; Mathematics; Optimal scheduling; Product development; Resource management; Single machine scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2775
  • Filename
    4680964