Multi-objective layout optimization for material flow system with decentralized and scalable control

The lack of flexibility in logistic systems currently on the market leads to the development of new innovative transportation systems. In order to find the optimal configuration of such a system depending on the current goal functions, for example minimization of transport times and maximization of throughput, various mathematical methods of multi-criteria optimization are applicable. In this work, the concept of a complex transportation system with decentralized and scalable control is presented. Furthermore, the question of finding the optimal configuration of such a system through mathematical methods of optimization is considered.