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
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;
Conference_Titel :
Control Conference (ECC), 2013 European
Conference_Location :
Zurich