DocumentCode :
2987038
Title :
Agent-based dispatching in groupage traffic
Author :
Gath, Max ; Edelkamp, Stefan ; Herzog, Otthein
Author_Institution :
Center for Comput. & Commun. Technol. (TZI), Univ. of Bremen, Bremen, Germany
fYear :
2013
fDate :
16-19 April 2013
Firstpage :
54
Lastpage :
60
Abstract :
The complexity and dynamics in group age traffic requires flexible, efficient, and adaptive planning and controlling processes. While the general problem refers to the Vehicle Routing Problem (VRP), additional requirements have to be fulfilled in application. Individual properties and priorities of orders, a heterogeneous fleet of vehicles, dynamically incoming orders, unexpected events etc. require a proactive and reactive system behavior. To enable automated dispatching processes, we have implemented a multiagent system where the decision making is shifted from a central system to autonomous, interacting, intelligent agents. To evaluate the approach we used multi agent-based simulation and modeled several scenarios on real world infrastructures with orders provided by our industrial partner. The results reveal that agent-based dispatching meets the increasing requirements in groupage traffic while supporting the combination of pickup and delivery tours and accommodating request priorities, time-windows, as well as capacity constraints.
Keywords :
decision making; digital simulation; dispatching; logistics; multi-agent systems; production engineering computing; vehicle routing; VRP; adaptive planning; agent-based dispatching; automated dispatching process; capacity constraints; controlling process; decision making; delivery tours; dynamically incoming orders; groupage traffic; heterogeneous vehicle fleet; individual properties; logistic process; multiagent-based simulation; order priority; pickup tour; proactive system behavior; reactive system behavior; request priorities accomodation; time-windows; vehicle routing problem; Complexity theory; Decision making; Logistics; Planning; Process control; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence In Production And Logistics Systems (CIPLS), 2013 IEEE Workshop on
Conference_Location :
Singapore
Type :
conf
DOI :
10.1109/CIPLS.2013.6595200
Filename :
6595200
Link To Document :
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