Abstract
Supply network management aims at balancing supplies and demands between suppliers and consumers (Section 2.1). This is a challenging task due to the complexity, the dynamics, and the distribution that are inherent in logistics processes (Section 2.3). The autonomous logistics paradigm addresses these challenges by applying local control rather than centralised decision making. To this end, each of the participating logistics entities is itself responsible for satisfying its predefined logistics objectives. Delegating both the autonomy and the ability to make decisions to the logistics objects coincides with the natural distribution observed in logistics. The advantages over previous methods are as follows. Firstly, it is possible to react locally on exceptions. It is thus not necessary to re-schedule the whole system which might even be impossible due to the complexity and the dynamics. Secondly, it is not necessary to reveal internal information and decision processes to a central entity.
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Schuldt, A. (2011). Autonomous Control in Logistics. In: Multiagent Coordination Enabling Autonomous Logistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20092-2_3
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