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

Research on Optimization Model of Online Shopping Supply Chain

Authors
Ying Chen, Yonghua Yang
Corresponding Author
Ying Chen
Available Online November 2016.
DOI
https://doi.org/10.2991/aiea-16.2016.68How to use a DOI?
Keywords
Revenue sharing contract; Stock transport; Dynamic optimization; Inventory decisions.
Abstract

How to improve vendor management inventory levels, and how online retailer optimize inventory costs and transportation costs, to obtain greater profit margins, has become the supply chain cannot be ignored. In this paper, revenue sharing contract under the conditions set forth the number of multi-stage inventory optimization strategies vendor products, revenue sharing contract parameters according to the supplier and retailer network share a common transportation costs, so that based on revenue sharing contract under the conditions of the two sides are greater than profits online shopping in the traditional supply chain profits and examples show the feasibility of this model to the economic benefits of cooperation, in order to better promote the cooperation provides an effective path.

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-16.2016.68How 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  - Ying Chen
AU  - Yonghua Yang
PY  - 2016/11
DA  - 2016/11
TI  - Research on Optimization Model of Online Shopping Supply Chain
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications
PB  - Atlantis Press
SP  - 384
EP  - 388
SN  - 2352-538X
UR  - https://doi.org/10.2991/aiea-16.2016.68
DO  - https://doi.org/10.2991/aiea-16.2016.68
ID  - Chen2016/11
ER  -