PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Analytical travel time models for multi aisle automated storage and retrieval systems
Blaž Zmazek, Janez Kramberger, Matej Borovinšek, Iztok Potrč, Tone Lehrer and Matjaž Šraml
The International Journal of Advanced Manufacturing Technology Volume 30, Number 3-4, pp. 340-356, 2006. ISSN 0268-3768

Abstract

Multi aisle automated storage and retrieval systems correspond to multiple picking aisles served by a single storage and retrieval machine. These systems are used in practice when the need for pallet places is high and the throughput capacity is relatively low. Therefore, considerable savings of initial investment costs due to single aisle systems can be achieved using such systems. The objective of the presented study is to develop analytical travel time models for multi aisle automated storage and retrieval systems considering the operating characteristics of the storage and retrieval machine. With the proposed analytical travel time models, average travel time of the storage and retrieval machine, from which the performance of multi aisle automated storage and retrieval systems can be evaluated is determined. A simulation model of multi aisle automated storage and retrieval systems was developed to compare the performances of the proposed analytical travel time models. An example of multi aisle automated storage and retrieval systems with five picking aisles was presented for the evaluation purpose. The results show that proposed analytical travel time models perform satisfactory according to the results of simulation analysis and could be very useful tools for designing of multi aisle automated storage and retrieval systems in real-world applications.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:2453
Deposited By:Igor Pesek
Deposited On:22 November 2006