Die Modularisierung von logistischen Gewerken und Entwicklung einer automatischen Anordnungsplanung von modularen Containeranlagen ist ein Ziel des Forschungsprojekts ModuLOG. Erste Untersuchungen bestätigten die Notwendigkeit neuer Förder‐ und Lagermodule für die modulare Chemieproduktion. Das in dem Forschungsprojekt konzeptionierte Containerdurchlaufregal wird dabei den Anforderungen der modularen Produktion gerecht. Neben den Produktions‐ und den entwickelten Lagermodulen existieren weitere Module in einer Containeranlage, die, für einen effizienten Betrieb, auf intelligente Weise zueinander angeordnet werden müssen. Dies wird durch die entwickelte automatische Anordnungsplanung ermöglicht.
This paper deals with the influence of storage management policies on the performance of autonomous vehicle storage and retrieval systems (AVS/RS). Strategies like cross storage, access frequency based strategies, as well as path optimized and first in first out strategies were analyzed by using an AutoMod TM based simulation model. For each strategy the vehicle selection strategy was varied to identify existing interactions between the two sets of strategies. The physical components were not changed throughout the simulation study, except for the amount of used vehicles. The simulation results were analyzed with the aim of obtaining universally valid statements on the system behavior. The conclusion is that immense performance effects can be achieved by intelligent control of AVS/RS without changing the physical configuration. The increase in performance can be generated by several individual effects. Therefore, the design of each autonomous vehicle storage and retrieval system needs a by-case examination.
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