Multiagent Coordination Enabling Autonomous Logistics
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, Multiagent coordination enabling autonomous logistics. Springer, Heidelberg, 2011) 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 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.
KeywordsMultiagent System Autonomous Control Shipping Container Interaction Scheme Team Formation
- Bretzke W-R (2008) Logistische Netzwerke. Springer, HeidelbergGoogle Scholar
- Hülsmann M, Windt K (eds) (2007) Understanding autonomous cooperation and control in logistics: the impact of autonomy on management, information, communication and material flow. Springer, HeidelbergGoogle Scholar
- Wooldridge M (1999) Intelligent agents. In: Weiss G (ed) Multiagent systems. A modern approach to distributed artificial intelligence. MIT Press, Cambridge, MA, pp 27–77Google Scholar