Analysis model of logistics supply chain factors in large-scale stacking goods

DOI

10.2991/amcce-15.2015.231How to use a DOI?

Keywords

logistics route optimization; sales project; improved max min ant

Abstract

Aiming at the promotion of logistics transportation in the stacking sale goods evacuation, it has been to lack of complete and effective theoretical analysis of this issue. By analyzing the changes of logistics data, the massive stacking sales of goods are taken as the foundation, to carry on the analysis model. The improved max min ant algorithm is used as theoretical basis for the model establishment, the results of commodity sales project profit is taken as the example after logistics supply chain route optimization, to input distribution profit model to make analysis. After logistics route optimization in the special area, the distribution of products is quantified. Experimental results show that the level of market sales, market share rate and changes of profit growth rate are described in proposed model, and the model has higher application value.

Copyright

© 2015, 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  - Bo Cheng
PY  - 2015/04
DA  - 2015/04
TI  - Analysis model of logistics supply chain factors in large-scale stacking goods
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.231
DO  - 10.2991/amcce-15.2015.231
ID  - Cheng2015/04
ER  -