Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)

Robust Optimization on the Fourth Party Logistics Network with Purchase – Return Reverse Logistics

Authors
Haifeng Guo
Corresponding Author
Haifeng Guo
Available Online April 2017.
DOI
10.2991/icmse-17.2017.20How to use a DOI?
Keywords
fourth party logistics; reverse logistics; robust optimization; location-routing problem
Abstract

One single-period many products 4PL network location model which synthetically taking the manufactory, centralized return centre, consumption area/initial return point, repair processing centre, distribution centre, and disposal centre into account,is constructed in this paper. The objective is to minimize the total cost. In the uncertain condition of recovery rate, sales and return rate, the model is contructed with the method of robust optimization. The result of the examples verified the robustness of the model.

Copyright
© 2017, 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 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-327-2
ISSN
2352-5401
DOI
10.2991/icmse-17.2017.20How to use a DOI?
Copyright
© 2017, 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  - Haifeng Guo
PY  - 2017/04
DA  - 2017/04
TI  - Robust Optimization on the Fourth Party Logistics Network with Purchase – Return Reverse Logistics
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 99
EP  - 104
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.20
DO  - 10.2991/icmse-17.2017.20
ID  - Guo2017/04
ER  -