Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)

Exploration of Key Technologies of Smart Logistics Based on Big Data

Authors
Dongyuan Ge, Gaoan Li, Zhongshun Wei, Xuejun Wen
Corresponding Author
Dongyuan Ge
Available Online August 2018.
DOI
10.2991/icesem-18.2018.293How to use a DOI?
Keywords
Ecological Logistics; Intelligent Logistics; End to End; Big Data
Abstract

Modern smart logistics is an important infrastructure for the new business and new economy, which is a socialized logistics collaborative platform driven by big data. Through the introduction of the system feedback information, intellectualization of logistics management and logistics operation is realized with the support of big data technology. At the same time, through the creation of more logistics products and scenes, the efficiency of end-to-end supply chain is enhanced, so that an ecological logistics with adaptive characteristics come into being.

Copyright
© 2018, 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 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
August 2018
ISBN
978-94-6252-557-3
ISSN
2352-5398
DOI
10.2991/icesem-18.2018.293How to use a DOI?
Copyright
© 2018, 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  - Dongyuan Ge
AU  - Gaoan Li
AU  - Zhongshun Wei
AU  - Xuejun Wen
PY  - 2018/08
DA  - 2018/08
TI  - Exploration of Key Technologies of Smart Logistics Based on Big Data
BT  - Proceedings of the 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018)
PB  - Atlantis Press
SP  - 1256
EP  - 1259
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesem-18.2018.293
DO  - 10.2991/icesem-18.2018.293
ID  - Ge2018/08
ER  -