Cloud Computing for Autonomous Control in Logistics

  title={Cloud Computing for Autonomous Control in Logistics},
  author={Arne Schuldt and Karl Hribernik and Jan D. Gehrke and Klaus-Dieter Thoben and Otthein Herzog},
  booktitle={GI Jahrestagung},
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… CONTINUE READING
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