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Auflistung nach Autor:in "Schuldt, Arne"

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  • Konferenzbeitrag
    Cloud computing for autonomous control in logistics
    (INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1, 2010) Schuldt, Arne; Hribernik, Karl; Gehrke, Jan Dirk; Thoben, Klaus-Dieter; Herzog, Otthein
    Logistics processes in a globalised economy are increasingly complex, dynamic, and distributed. These properties pose major challenges for logistics planning and control. Conventional centralised approaches are frequently limited in their efficiency due to the high number of logistics objects and parameters to be considered. As an alternative, the paradigm of autonomous control in logistics delegates decisionmaking to the participating logistics objects themselves. This allows for decreasing the computational effort and coping with dynamics locally. Implementing autonomous logistics with intelligent software agents makes logistics control flexible and scalable with respect to transient demands. In order to meet customer demands, however, also the underlying hardware platform must be scalable. To this end, this paper examines cloud computing as a hardware platform abstraction for autonomous logistics. It discusses and compares different approaches how cloud computing can facilitate logistics control with intelligent software agents.
  • Zeitschriftenartikel
    Multiagent Coordination Enabling Autonomous Logistics
    (KI - Künstliche Intelligenz: Vol. 26, No. 1, 2012) Schuldt, Arne
    This dissertation develops coordination mechanisms for the implementation of autonomous control in logistics with multiagent technology. Therewith, it tackles the challenges of supply network management caused by the complexity, the dynamics, and the distribution of logistics processes. The paradigm of autonomous logistics reduces the computational complexity and copes with the dynamics locally by delegating process control to the participating objects (such as shipping containers). The dissertation specifies and implements the cooperative problem-solving process for autonomous logistics. The presented solution has been used in a realistic simulation of real-world container logistics processes. The validation shows that autonomous control is feasible and that it outperforms the previous centralised dispatching approach by significantly increasing the resource utilisation efficiency.