MAS 2011 Proceeding

The Art of Data-Driven Modelling in Logistics Simulation

Authors:   Rainer Frick

Abstract

The field of discrete event simulation used for logistics simulation is covered by many software tools and software libraries. Most of them offer libraries and functionality to model a simulation case and run experiments. Already small changes of the logistics case can result in considerable efforts of changing the simulation model. Data-driven simulation modelling provides the possibility to reduce adaptation work and makes simulation model more long-lasting. This work comes up with a reflection of state-of-the-art data- driven modelling techniques and reports on implemented sample cases in the world of logistics.

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