Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences

Research on the Risk Evaluation Model and Application of Coal Logistics Supply Chain Network

Authors
Lieying Zhao, Xifu Wang, Hongsheng Sun
Corresponding Author
Lieying Zhao
Available Online April 2015.
DOI
10.2991/cmes-15.2015.6How to use a DOI?
Keywords
coal logistics supply chain network, risk assessment, genetic neural network.
Abstract

This paper identifies the risk factors of coal logistics supply chain network, and it has established 15 qualitative and quantitative risk evaluation index systems of coal logistics supply chain network. At the same time, it uses genetic algorithm to optimize the weight and threshold of BP neural network, and it establishes the model and algorithm of risk evaluation based on genetic neural network. Finally, it takes an enterprise in Shanxi as an example, it uses the model of risk evaluation of genetic neural network established by MATLAB software to train the sample data of examples, and through the comparison and analysis of results, it verifies the feasibility of risk assessment of coal logistics supply chain network model based on Genetic Neural Network.

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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Volume Title
Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
10.2991/cmes-15.2015.6
ISSN
2352-5401
DOI
10.2991/cmes-15.2015.6How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Lieying Zhao
AU  - Xifu Wang
AU  - Hongsheng Sun
PY  - 2015/04
DA  - 2015/04
TI  - Research on the Risk Evaluation Model and Application of Coal Logistics Supply Chain Network
BT  - Proceedings of the 2nd International Conference on Civil, Materials and Environmental Sciences
PB  - Atlantis Press
SP  - 20
EP  - 23
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmes-15.2015.6
DO  - 10.2991/cmes-15.2015.6
ID  - Zhao2015/04
ER  -