Supply Networks as Complex Systems: A Network-Science-Based Characterization

被引:59
作者
Brintrup, Alexandra [1 ]
Wang, Yu [1 ,2 ]
Tiwari, Ashutosh [1 ]
机构
[1] Cranfield Univ, Dept Mfg & Mat, Cranfield MK43 0AL, Beds, England
[2] Commercial Aircraft Corp China Ltd, Shanghai 200120, Peoples R China
来源
IEEE SYSTEMS JOURNAL | 2017年 / 11卷 / 04期
关键词
Aerospace; complex system; network science; supply networks; COMMUNITY STRUCTURE; ADAPTIVE SYSTEMS; CHAIN MANAGEMENT; EMERGENCE; JAPANESE;
D O I
10.1109/JSYST.2015.2425137
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Outsourcing, internationalization, and complexity characterize today's aerospace supply chains, making aircraft manufacturers structurally dependent on each other. Despite several complexity-related supply chain issues reported in the literature, aerospace supply chain structure has not been studied due to a lack of empirical data and suitable analytical toolsets for studying system structure. In this paper, we assemble a large-scale empirical data set on the supply network of Airbus and apply the new science of networks to analyze how the industry is structured. Our results show that the system under study is a network, formed by communities connected by hub firms. Hub firms also tend to connect to each other, providing cohesiveness, yet making the network vulnerable to disruptions in them. We also show how network science can be used to identify firms that are operationally critical and that are key to disseminating information.
引用
收藏
页码:2170 / 2181
页数:12
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