A Fuzzy Multi-Criteria Group Decision Making Model for Measuring Risks in a Supply Chain Using Extended VIKOR Method

被引：0

作者：

Nazam, Muhammad ^{[1
]}

Ahmad, Jamil ^{[1
]}

Javed, Muhammad Kashif ^{[1
]}

Hashim, Muhammad ^{[2
]}

Sarwar, Adnan ^{[1
]}

Rasheed, Shahid ^{[3
]}

机构：

[1] Sichuan Univ, Uncertainty Decis Making Lab, Chengdu 610064, Peoples R China

[2] Natl Text Univ, Dept Business Adm, Faisalabad 37610, Pakistan

[3] Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China

来源：

PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT | 2015年 / 362卷

关键词：

Supply chain risk management; Multi-criteria group decision making; Fuzzy VIKOR; Risk index; Aviation sector;

D O I：

10.1007/978-3-662-47241-5_122

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we quantify risks in a supply chain process from an aviation's perspective. Due to globalization, supply chains are getting more and more risky than before. As risk is inherent and uncertain activity, if it occurs then all of the supply chain partners will be impacted with a significant loss. To deal with this problem, a comprehensive risk evaluation index system has been proposed, which captures the level of risk faced by a supply chain in a given situation. For measuring risks in a supply chain we formulated a fuzzy multi-criteria group decision making model based on extended VIKOR method to determine the best feasible solution according to the selected risk parameters. A practical case study is conducted to test the applicability of the proposed methodology. Finally, we discuss the effectiveness of the proposed framework and rank the risk alternatives in descending order.

引用

页码：1465 / 1476

页数：12

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