Multiagent Coordination Enabling Autonomous Logistics (bibtex)
by Arne Schuldt
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:
Arne Schuldt, "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}
}
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