Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

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

Authors
Bo Cheng
Corresponding Author
Bo Cheng
Available Online April 2015.
DOI
https://doi.org/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.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.231How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/amcce-15.2015.231
ID  - Cheng2015/04
ER  -