• DocumentCode
    2285060
  • Title

    A novel model for integration of collaborative planning and rapid scheduling

  • Author

    Bao, Zhen-Qiang ; Wang, Wei-Ye ; Wang, Gui-Jun ; Zhong, Hui ; Chen, Wei

  • Author_Institution
    Inf. Eng. Coll., Yangzhou Univ., Yangzhou, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    432
  • Lastpage
    436
  • Abstract
    Aiming at the production type enslaved by the working ability and the cooperation partners, a novel model for integration of collaborative planning and rapid scheduling is constructed to deal with it. The model can effectively solve the scheduling problem lack of the working ability and the problem of the unfixed scheduling set in which part of the jobs can be outsourced but part of the jobs cannot be outsourced, and give a scheduling with the most jobs in stated make-span. A hybrid genetic algorithm with heuristic method is put forward. The feasibility of planning and the consistency of scheduling are ensured, meanwhile, the decision of process route is made. Finally, the method has been applied in a flow shop of a rag trade company, and the validity and feasibility of our integrated optimization model has been proved.
  • Keywords
    flow shop scheduling; genetic algorithms; production management; production planning; collaborative planning; collaborative production; cooperation partners; flow shop; genetic algorithm; integrated optimization model; production type enslaved; rapid scheduling; scheduling problem; working ability; Collaborative work; Conference management; Constraint optimization; Dynamic scheduling; International collaboration; Job production systems; Job shop scheduling; Manufacturing; Process planning; Production planning; collaborative production; decision-making of process route; genetic algorithm; integration of collaborative planning and scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5317383
  • Filename
    5317383