Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

The Selection of Logistics Suppliers under Cloud Manufacturing

Authors
Hui Wang, Yuantao Song, Shenhao Tu, Yijun Li
Corresponding Author
Hui Wang
Available Online March 2018.
DOI
10.2991/icaita-18.2018.46How to use a DOI?
Keywords
logistics supplier; cloud manufacturing; entropy-TOPSIS; selection model
Abstract

The selection of logistic supplier is the key factor for the company to promote the operation efficiency and reduce the cost in business. It is crucial for the company to choose proper logistics suppliers based on the specific rules. With the development of scientific and technological innovation, such as AI, Big data, Cloud manufacturing. Etc, which changes the operation mode of logistics. The article puts forward a new method entropy-Topsis model to evaluate the logistics suppliers based on the cloud manufacturing environment, which helps the cloud manufacturing quickly and accurately evaluate and select logistics suppliers.

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 Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/icaita-18.2018.46
ISSN
1951-6851
DOI
10.2991/icaita-18.2018.46How 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  - Hui Wang
AU  - Yuantao Song
AU  - Shenhao Tu
AU  - Yijun Li
PY  - 2018/03
DA  - 2018/03
TI  - The Selection of Logistics Suppliers under Cloud Manufacturing
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 183
EP  - 185
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.46
DO  - 10.2991/icaita-18.2018.46
ID  - Wang2018/03
ER  -