ForschungPublikationen
Layout Optimization for Cyber-Physical Material Flow Systems Using a Genetic Algorithm

Layout Optimization for Cyber-Physical Material Flow Systems Using a Genetic Algorithm

Kategorien Konferenz (reviewed)
Jahr 2020
Autoren Shchekutin, N.; Overmeyer, L.; Shkodyrev V. P.
Veröffentlicht in Arseniev D., Overmeyer L., Kälviäinen H., Katalinić B. (eds) Cyber-Physical Systems and Control. CPS&C 2019. Lecture Notes in Networks and Systems, vol 95. Springer, Cham
Beschreibung

Cyber-physical production systems are a key solution in the Industry 4.0 age. Still, the advantages of using them are not always easyly presented with numbers. In this paper, the task of arranging a cyber-physical material flow system is addressed as a multi-objective optimization problem and a genetic algorithm is used to search for a Pareto front of optimal layouts. As an example of such a material flow system, a decentralized modular conveyor, which was developed at the Institute of Transport and Automation Technology at Leibniz University Hannover, is used. [666]

ISBN 978-3-030-34983-7
DOI 10.1007/978-3-030-34983-7_4