• DocumentCode
    2372437
  • Title

    Decision-tree learning in dwell point policies in autonomous vehicle storage and retrieval systems (AVSRS)

  • Author

    Fukunari, M. ; Bennett, K.P. ; Malmorg, C.J.

  • Author_Institution
    Decision Sciences & Engineering Systems Department, Rensselaer Polytechnic Institute
  • fYear
    2004
  • fDate
    16-18 Dec. 2004
  • Firstpage
    81
  • Lastpage
    84
  • Abstract
    Autonomous vehicle storage and retrieval system (A VSRS) is a new material handling technology for unit load storage and retrieval. The dwell point issue is one of important aspects to increase the throughput. We examine two dwell point policies of an IO point policy and a last transaction floor policy. We combine two policies from findings in a decision tree. The result indicates significant improvements. The findings from a decision tree are used as inputs in the control system so that the control system selects an appropriate policy based on a current system state.
  • Keywords
    Automatic control; Control systems; Decision trees; Dispatching; Intelligent vehicles; Material storage; Materials handling; Mobile robots; Rails; Remotely operated vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on
  • Conference_Location
    Louisville, Kentucky, USA
  • Print_ISBN
    0-7803-8823-2
  • Type

    conf

  • DOI
    10.1109/ICMLA.2004.1383497
  • Filename
    1383497