• DocumentCode
    735196
  • Title

    A dynamic part supply method for automated mixed-model assembly lines

  • Author

    Jietao Dong ; Linxuan Zhang ; Tianyuan Xiao ; Hui Li

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2015
  • fDate
    6-8 May 2015
  • Firstpage
    523
  • Lastpage
    527
  • Abstract
    Mixed-model assembly lines have been widely used to satisfy the ever-increasing variety of customer requirements. However, the successful application of this production model greatly relies on the level of inventory management, which determines the efficiency and operating cost. Considering the flexibility to unexpected events, this paper proposes a dynamic part supply method to deliver the required parts properly and timely to the corresponding workstations. In details, it is capable of dynamically generating supply orders, assigning supply orders to vehicles and determining the departure time of vehicles. During this procedure, the travelling time is minimized and the utilization ratio is improved under the capacity and time constraints. Finally, the effectiveness of this method is validated by simulating the production process of a test line.
  • Keywords
    assembling; minimisation; order processing; simulated annealing; supply chain management; automated mixed-model assembly lines; capacity constraints; customer requirements; dynamic part supply method; dynamic supply order generation; inventory management; production model; production process simulation; supply order assignment; time constraints; travelling time minimization; utilization ratio improvement; vehicle departure time; workstations; Computational modeling; TV; Vehicles; Workstations; Simulated Annealing; dynamic part supply; inentory management; mixed-model assembly line; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2015 IEEE 19th International Conference on
  • Conference_Location
    Calabria
  • Print_ISBN
    978-1-4799-2001-3
  • Type

    conf

  • DOI
    10.1109/CSCWD.2015.7231014
  • Filename
    7231014