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     Research Journal of Applied Sciences, Engineering and Technology


A Hybrid Support Vector Machines and Two-dimensional Risk Matrix Model for Supply Chain Risk Assessment

Fan Jiang and Junfei Chen
State Key Laboratory of Hydrology-water Resources and Hydraulic Engineering, Business School, Hohai University, Nanjing 210098, China
Research Journal of Applied Sciences, Engineering and Technology  2014  11:2193-2199
http://dx.doi.org/10.19026/rjaset.7.516  |  © The Author(s) 2014
Received: February 15, 2013  |  Accepted: March 21, 2013  |  Published: March 20, 2014

Abstract

In recent years, the supply chain managements have been paid more and more attention. The supply chain risk management is an important content for enterprises implementing supply chain management. Therefore, how to measure the risk of supply chain is quite important. In this study, a supply chain risk evaluation model based on support vector machines and two-dimensional risk matrix is proposed. The index system of supply chain risk assessment which includes 14 indices is established. The case study shows that the proposed model is reasonable, effective and it can provide an important reference for supply chain risk management.

Keywords:

Risk assessment, Supply Chain (SC), Support Vector Machines (SVMs), two-dimensional risk matrix,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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