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Abstract
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Article Information:
A Hybrid Support Vector Machines and Two-dimensional Risk Matrix Model for Supply Chain Risk Assessment
Fan Jiang and Junfei Chen
Corresponding Author: Junfei Chen
Submitted: February 15, 2013
Accepted: March 21, 2013
Published: March 20, 2014 |
Abstract:
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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.
Key words: Risk assessment, Supply Chain (SC), Support Vector Machines (SVMs), two-dimensional risk matrix, , ,
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Cite this Reference:
Fan Jiang and Junfei Chen, . A Hybrid Support Vector Machines and Two-dimensional Risk Matrix Model for Supply Chain Risk Assessment. Research Journal of Applied Sciences, Engineering and Technology, (11): 2193-2199.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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