by Schuldt, Arne
Abstract:
Supply network management is a challenging task due to the complexity, the dynamics, and the distribution of logistics processes. Automated process control thus requires to reduce the computational complexity and to cope with the dynamics locally. The paradigm of autonomous control in logistics means that control of logistics processes is delegated to the participating objects. As an example, shipping containers may themselves plan and schedule their way through logistics networks in accordance with objectives imposed by their owners. This work (Schuldt, 2010) solves the implementation of autonomous control with multiagent technology. This multiagent-based solution has been used in a realistic simulation of the container logistics processes of a major European retailer of consumer products. The validation shows that autonomous control is actually possible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency. Moreover, the multiagent system relieves human dispatchers from dealing with standard cases, giving them more time to solve exceptional cases appropriately.
Reference:
Schuldt, Arne, "Multiagent Coordination Enabling Autonomous Logistics", In DLK2010, Deutscher Verkehrs-Verlag, Berlin, pp. 424–427, 2010.
Bibtex Entry:
@INPROCEEDINGS{Schuldt2010,
author = {Schuldt, Arne},
title = {{Multiagent Coordination Enabling Autonomous Logistics}},
booktitle = {DLK2010},
year = {2010},
editor = {Wimmer, Thomas and W{\"o}hner, Heiko},
pages = {424--427},
address = {Berlin},
month = {October20--22},
publisher = {Deutscher Verkehrs-Verlag},
abstract = {Supply network management is a challenging task due to the complexity,
the dynamics, and the distribution of logistics processes. Automated
process control thus requires to reduce the computational complexity
and to cope with the dynamics locally. The paradigm of autonomous
control in logistics means that control of logistics processes is
delegated to the participating objects. As an example, shipping containers
may themselves plan and schedule their way through logistics networks
in accordance with objectives imposed by their owners. This work
(Schuldt, 2010) solves the implementation of autonomous control with
multiagent technology. This multiagent-based solution has been used
in a realistic simulation of the container logistics processes of
a major European retailer of consumer products. The validation shows
that autonomous control is actually possible and that it outperforms
the previous centralised dispatching approach by significantly increasing
the resource utilisation efficiency. Moreover, the multiagent system
relieves human dispatchers from dealing with standard cases, giving
them more time to solve exceptional cases appropriately.},
owner = {pmania},
timestamp = {2012.11.06},
url = {http://www.arne.schuldt.info/publications-dlk2010.html}
}