Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

The Study of the Logistics Management Information System based on Android

Authors
Zhihai Liu, Dandan Zhang, Ronghua Zhang, Kaidi Yang
Corresponding Author
Zhihai Liu
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.193How to use a DOI?
Keywords
Logistics management system; Android; Vehicle scheduling; ant colony algorithm
Abstract

Starting from the actual demand of logistics enterprise information management, vehicle scheduling problem model was established and the solving method of model was found based on the ant colony algorithm. At the same time, based on Android and MySQL database development environment, the paper carried on the system requirements and functional analysis, database design, interface design, etc. The system overcomes the limitations of other management information systems, improves the management efficiency, realizes the flexibility, intelligence and digital of information management, and provides a new platform for enterprise logistics information management.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.193How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhihai Liu
AU  - Dandan Zhang
AU  - Ronghua Zhang
AU  - Kaidi Yang
PY  - 2016/03
DA  - 2016/03
TI  - The Study of the Logistics Management Information System based on Android
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 976
EP  - 979
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.193
DO  - 10.2991/icmmct-16.2016.193
ID  - Liu2016/03
ER  -