• DocumentCode
    2957974
  • Title

    Modeling of helper robots in manufacturing systems using Petri Nets

  • Author

    Khanmohammadi, S. ; Ghadiri, H. ; JahedMotlagh, M.R.

  • Author_Institution
    Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    1692
  • Lastpage
    1697
  • Abstract
    In this paper the Timed Petri Net (TPN) is used for modeling the operations of co-operative robots in Flexible Manufacturing Systems (FMS). The effect of fault parameters and the number of co-operative robots -we call them the helpers- in the performance of the system is investigated. These special purpose robots are used to decrease the operation times, as well as to increase the total performance of the system. These robots perform the preliminary tasks on the waiting jobs (parts) in the wait lines or input buffers of machines. Also some automatic guided vehicles (AGVs) are used as material handlers between machines while performing some simple preliminary tasks during the material handling. Some sub-TPNs are used for modeling of FMS and helper robots, as special purpose robots. Simulation results show that by using the helpers, there will be a decrease of 23.7 percent in mean operation time of system, and a decrease of 25.4 percent in the mean waiting time of jobs at input buffers.
  • Keywords
    Petri nets; automatic guided vehicles; flexible manufacturing systems; industrial robots; materials handling equipment; multi-robot systems; production control; AGV; Flexible Manufacturing Systems; Timed Petri Net; automatic guided vehicles; co-operative robots; helper robots; material handlers; special purpose robots; Manufacturing systems; Neural networks; Petri nets; Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634025
  • Filename
    4634025