Evaluation System Construction for Logistics Supply Chain of Cross-border E-commerce

DOI

10.2991/icmmita-16.2016.287How to use a DOI?

Keywords

Cross-border E-commerce; logistic supply chain; evaluation system; low carbon; closed loop

Abstract

This paper establishes the optimization model of low-carbon closed-loop supply chain network with multiple objectives. Aiming at the model, a kind of improved genetic algorithm combined with constraint method is raised to get the pareto optimal solution, which has been verified by algorithm case. The result of algorithm case shows that, the model can relatively reasonably solve the optimization problem of low-carbon closed-loop supply chain network with multiple objectives, and the used algorithm can efficiently get the pareto optimal solution. The article also discusses about the influence of utilization coefficient and partition coefficient of waste products to the range of pareto optimal solution, and analyze the reason why such influence is produced Finally, the article researches the variation range of optimal result when the product demand and product recycling demand of waste product in random. The article enriches the research content of low-carbon supply chain network and closed-loop supply chain network, is helpful for the enterprise to find the pareto optimal solution and control the range of pareto optimal solution by adjusting the coefficient, and also lay the foundation for establishing the low-carbon closed-loop supply chain network model with multiple products and periods.

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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TY  - CONF
AU  - Lianming Zhao
PY  - 2017/01
DA  - 2017/01
TI  - Evaluation System Construction for Logistics Supply Chain of Cross-border E-commerce
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 1256
EP  - 1262
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-16.2016.287
DO  - 10.2991/icmmita-16.2016.287
ID  - Zhao2017/01
ER  -