Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications

Strategic Analysis & Countermeasure study on Environmental Logistics

Authors
Zhiguo Fan, Mengkun Ma
Corresponding Author
Zhiguo Fan
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.92How to use a DOI?
Keywords
Environmental logistics; Sustainable development; Ecological environment.
Abstract

Human material civilization and spiritual civilization are improved along with the continuous development and progress of the social economy. However, resources we live on are decreasing while industrial waste, car exhaust, and other hazardous materials are increasing, which are threatening the ecological environment and our earth. Therefore, as a sustainable development strategy, the environmental logistics is also a difficult task, which has gradually become one of the important tasks of enterprises, and also one of social issues. Environmental logistics has been carrying out the strategy of sustainable development, which plays an irreplaceable role in the development of both the society and the enterprise.

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 International Conference on Artificial Intelligence and Engineering Applications
Series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-270-1
ISSN
2352-538X
DOI
https://doi.org/10.2991/aiea-16.2016.92How 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  - Zhiguo Fan
AU  - Mengkun Ma
PY  - 2016/11
DA  - 2016/11
TI  - Strategic Analysis & Countermeasure study on Environmental Logistics
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 517
EP  - 520
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.92
DO  - https://doi.org/10.2991/aiea-16.2016.92
ID  - Fan2016/11
ER  -