Heuristics for puzzle-based storage systems driven by a limited set of automated guided vehicles

Authors:
A. Alfieri;M. Cantamessa;A. Monchiero;F. Montagna
Affiliations:
Dipt. Sistemi di Produzione ed Economia dell'Azienda, Politecnico di Torino, Turin, Italy;Dipt. Sistemi di Produzione ed Economia dell'Azienda, Politecnico di Torino, Turin, Italy;Dipt. Sistemi di Produzione ed Economia dell'Azienda, Politecnico di Torino, Turin, Italy;Dipt. Sistemi di Produzione ed Economia dell'Azienda, Politecnico di Torino, Turin, Italy
Venue:
Journal of Intelligent Manufacturing
Year:
2012

Citing 4
Cited 0

The (n2-1)-puzzle and related relocation problems

Journal of Symbolic Computation
A real-time algorithm for the (n2 − 1)-puzzle

Information Processing Letters
Rush Hour is PSAPCE-complete, or "Why you should generously tip parking lot attendants"

Theoretical Computer Science
Comparison of operations of AGVs and ALVs in an automated container terminal

Journal of Intelligent Manufacturing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Storage systems play a vital role in industrial operations, and containment of their cost can be an important managerial issue. One way to achieve this aim is to increase storage density, i.e. to increase the area dedicated to storage and to reduce the size of aisles used to access goods. Innovative "puzzle-based" storage systems, in which shelves are moveable and hence allow the flexible arrangement of aisles, can be a promising solution, as long as retrieval times are fast enough and the required investment is not too high. The paper proposes the study of an innovative management solution for puzzle-based storage systems based on AGV tractors instead of self-propelled shelves. These systems have been studied by analyzing density and retrieval time as focal design variables.