A Concept for Simulation of Autonomous Logistic Processes
Bernd Scholz‐Reiter, Daniel Rippel, Steffen Sowade · 2011
Abstract—Today, logistic systems face increasing dynamics and complexity. Autonomous Control faces these challenges, by enabling logistic objects to render their own local decisions. To apply autonomous control to real world applications, it is necessary to model and test autonomous processes before implementing them. The Autonomous Logistic Engineering Methodology provides tools to develop autonomous processes. In order to support testing and validation of these models, the methodology is extended by a simulation component. This article presents a concept, to transform the process models into executable simulation models. This procedure uses concepts and techniques of the Model Driven Architecture. Furthermore, the article presents a procedure that supports in selecting suitable simulation platforms and in integrating them into the methodology’s framework.