Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
---|---|---|
Article Number | 03051 | |
Number of page(s) | 6 | |
Section | Algorithm Study and Mathematical Application | |
DOI | https://doi.org/10.1051/matecconf/201823203051 | |
Published online | 19 November 2018 |
Development of Automated Warehouse Management System
School of mechanical and automotive engineering, Shanghai University of Engineering Science, Shanghai 201620, China
With the rapid development of the logistics industry, high-speed, high-efficiency and accurate delivery have become the new pursuit goals of the logistics industry, and intelligent logistics has been favored by enterprises. Aiming at the current situation that the offline products must be manually moved, sorted and discharged, the scheme of fully automated three-dimensional warehouse is proposed. Through the design of the whole three-dimensional warehouse, the whole process of the offline products can be realized by AGV, AGV management system, warehouse management system and roller. Lines, palletizers, etc. are completed. As the core part of the whole solution, the warehouse management system plays a vital role in achieving point-to-point tracking of offline products, and can perform regular statistical analysis on the inbound and outbound products to achieve digital management, improve the competitiveness of enterprises and bring considerable economic benefits.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.