Supply Chain Risk Evaluation Based on D-S Evidence Theory

被引：0

作者：

Pei, Xin-Tong ^{[1
]}

Zhang, Zhen-Jiang ^{[2
]}

Li, Chao ^{[3
]}

Wang, Jia-Wei ^{[4
]}

Mi, Kun ^{[5
]}

机构：

[1] School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, China

[2] School of Software Engineering, Beijing Jiaotong University, Beijing, China

[3] School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, China

[4] School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing, China

[5] Beijing Thunisoft Information Technology Corporation Limited, Beijing, China

来源：

Journal of Computers (Taiwan) | 2019年 / 30卷 / 06期

关键词：

Supply chain management - Risk assessment;

D O I：

10.3966/199115992019123006026

中图分类号：

学科分类号：

摘要：

Nowadays, the unexpected consequences of supply chain risk may cause enterprises to suffer huge losses. Reliability and effectiveness of supply chain are limited to the risks due to the fragility of the supply chain system. As such, supply chain risk evaluation is an emerging key subject in supply chain management. This paper proposes a supply chain risk evaluation model based on D-S evidence theory, which is called the D-S evidence discount fusion (D-SDF). By using Shafer discount rule and Dempster combination rule, this evaluation model is able to combine the evaluation results of multiple experts to assess the supply chain risks. In this paper, the feasibility and effectiveness of D-SDF is estimated by simulation. Compared with SAW, it can be concluded that D-SDF can evaluate supply chain risk more steadily and accurately.. © 2019 Computer Society of the Republic of China. All rights reserved.

引用

页码：311 / 322

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