• DocumentCode
    3430385
  • Title

    Research on bottleneck resources focused flow path design

  • Author

    Liu, Qiong ; Zhou, Gang

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1248
  • Lastpage
    1252
  • Abstract
    The current flow path design models might lead to complicated scheduling and unbalanced bottleneck resources in some cells. A bottleneck resources focused flow path model is proposed in this paper. The number of the ultimate cells and the average load of the bottleneck resources are considered in the model. The proposed model can dynamically form high efficient virtual production cells, balance the average load of the bottleneck resources in cells and help to reduce the complexity of scheduling later on. Genetic algorithm is designed to solve the proposed model. The validity of the model and algorithm are verified by corresponding case studies.
  • Keywords
    genetic algorithms; production control; scheduling; virtual manufacturing; bottleneck resources; cells; flow path design; genetic algorithm; virtual manufacturing cell; Algorithm design and analysis; Automatic control; Design automation; Genetic algorithms; Job shop scheduling; Manufacturing automation; Manufacturing processes; Optimized production technology; Production systems; Virtual manufacturing; Bottleneck resources; Flow path design; Genetic algorithm; Theory of Constraints; Virtual manufacturing cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410502
  • Filename
    5410502