Dieser Bericht soll dazu dienen, den Überblick auf Automatisierungstechnologie von FTS zu verschaffen. Besonders Sensorik- und Lagernavigationsalgorithmus werden hier behandelt.
Automated storage and retrieval system (AS/RS) is one of the major material handling systems, which is widely used in distribution centers and space and equipment. Many issues and approaches related to the efficiency improvement of AS/RSs have been addressed in the literature. This chapter presents an overview of this literature from the past 40 years. It presents a
comprehensive description of the current state-of-the-art in AS/RSs and discusses future prospects. The focus is principally on travel time estimates and different control policies such as dwell-point of the stacker crane, storage assignment, request sequencing and so on. In particular, this chapter will provide researchers and decision makers with an understanding of how to apply existing approaches effectively.
Automated storage and retrieval systems (AS/RS) need to execute complex combinatorial and sorting tasks. In this study we have shown how to plan AS/RS using multiple objective ant colony optimisation (ACO). The distribution of products in the AS/RS is based on the factor of inquiry (FOI), product height (PH), storage space usage (SSU) and path to dispatch (PD). The factor of inquiry for any product can be adjusted during the storage process in regard to actual market requirements. In order to reduce space consumption and minimise investment costs we chose an AS/RS with no corridors and one single elevator for multiple products. Results show that the expected distribution of products was reached and that ACO can be successfully used for planning automated storage systems.