刘娜^1,2, 沈江¹, 于鲲鹏³, 刘爱军⁴, 王钰莹¹
AuthorsHTML:刘娜^1,2, 沈江¹, 于鲲鹏³, 刘爱军⁴, 王钰莹¹
AuthorsListE:Liu Na^1,2, Shen Jiang¹, Yu Kunpeng³, Liu Aijun⁴, Wang Yuying¹
AuthorsHTMLE:Liu Na^1,2, Shen Jiang¹, Yu Kunpeng³, Liu Aijun⁴, Wang Yuying¹
Unit:1. 天津大学管理与经济学部，天津300072；2. 石河子大学机械电气工程学院，石河子 832000；3. 中国海洋大学管理学院，青岛266100；4. 西安电子科技大学经济与管理学院，西安 710071
Unit_EngLish:1．College of Management and Economics, Tianjin University, Tianjin 300072, China
2．School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832000, China
3．College of Management, Ocean University of China, Qingdao 266100, China
Abstract_Chinese:为了全面客观地评估供应链网络中节点的重要度, 有效识别供应链网络中关键节点, 提升供应链网络的稳定性．本文基于复杂网络理论, 提出一种融合节点自身重要度及连边重要度的改进加权节点收缩法, 此改进方法能够全面客观地评估供应链网络节点之间的重要度; 最后以变压器装配生产供应链网络为例, 实验结果验证了该改进算法的合理性和有效性．
Abstract_English:To comprehensively and objectively evaluate node importance in the supply chain network and effectively identify the key nodes so as to enhance its stability，an improved node contraction method that combines the importance of nodes and the connected edges is proposed based on complex network theory. This moved method can evaluate the importance of supply chain network nodes comprehensively and objectively. Taking transformer assembly and manufacturing supply chain network as an example，the validity and effectiveness of the proposed method are verified by experimental results.
Keyword_Chinese:供应链网络; 节点重要度; 脆弱性; 三角模糊数
Keywords_English:supply chain network; node importance; vulnerability; triangular fuzzy number

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