• DocumentCode
    646449
  • Title

    Stability of dynamic traveling repairman problem under Polling-Sequencing policies

  • Author

    Jiangchuan Huang ; Sengupta, Roukna

  • Author_Institution
    Dept. of Civil and Environ. Eng., Syst. Eng. Group, Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    614
  • Lastpage
    619
  • Abstract
    We establish a necessary and sufficient condition for stability in the dynamic traveling repairman problem (DTRP) [3] under the class of polling-sequencing (P-S) policies satisfying unlimited-polling and economy of scale. The P-S class includes some of the policies proven to be optimal for the expectation of system time under light and heavy loads in the DTRP literature. The number of tasks inside each polling partition is shown to be a Markov chain. Policies such as first come first serve, traveling salesman policy, nearest neighbor and Daganzo´s algorithm are shown to have economy of scale.
  • Keywords
    Markov processes; pattern recognition; stability; DTRP literature; Markov chain; dynamic traveling repairman problem; nearest neighbor; polling partition; polling-sequencing policies; stability; traveling salesman policy; Bismuth; Economies of scale; Markov processes; Queueing analysis; Sequential analysis; Switches; Vehicles; Dynamic Traveling Repairman Problem; Economy of Scale; Polling Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2013 European
  • Conference_Location
    Zurich
  • Type

    conf

  • Filename
    6669859