{"title":"基于复杂网络分析的汽车供应链网络的稳健性","authors":"Donghui Yang, Meng Tang, Yongbo Ni","doi":"10.1007/s10660-024-09814-9","DOIUrl":null,"url":null,"abstract":"<p>Recently, global environmental and political changes have heightened the risk of supply chain disruptions. To bolster the risk resilience of the supply chain, this paper delves into its robustness structure using complex network theory. Firstly, a network of automotive suppliers is established to analyze its structural characteristics. Notably, the network degree distribution manifests a power-law distribution, highlighting an intricate interplay of mutual cooperation within cohesive communities. Subsequently, the paper performs simulation analyses under scenarios involving both random and deliberate attacks on the automotive supply chain network. The focus is on assessing the network efficiency, the size of the largest connected subgraph, and the variations in three distinct module structures. The results indicate that the automotive supply network exhibits good robustness under random attacks but relatively weak robustness under deliberate attacks. Additionally, a hub-like structure demonstrates significant robustness in the automotive supply chain network, showing optimal risk resistance even in the scenario of deliberate attacks. Therefore, when constructing network connections in the automotive supply chain, it is advisable to focus on establishing hub-like connections with upstream and downstream partners, while also preventing both internal and external risks of deliberate attacks, thereby enhancing the overall robustness of the entire supply chain network. These findings provide insights into risk mitigation in terms of network construction for automotive supply chain management and optimization.</p>","PeriodicalId":47264,"journal":{"name":"Electronic Commerce Research","volume":"55 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robustness of automotive supply chain networks based on complex network analysis\",\"authors\":\"Donghui Yang, Meng Tang, Yongbo Ni\",\"doi\":\"10.1007/s10660-024-09814-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Recently, global environmental and political changes have heightened the risk of supply chain disruptions. To bolster the risk resilience of the supply chain, this paper delves into its robustness structure using complex network theory. Firstly, a network of automotive suppliers is established to analyze its structural characteristics. Notably, the network degree distribution manifests a power-law distribution, highlighting an intricate interplay of mutual cooperation within cohesive communities. Subsequently, the paper performs simulation analyses under scenarios involving both random and deliberate attacks on the automotive supply chain network. The focus is on assessing the network efficiency, the size of the largest connected subgraph, and the variations in three distinct module structures. The results indicate that the automotive supply network exhibits good robustness under random attacks but relatively weak robustness under deliberate attacks. Additionally, a hub-like structure demonstrates significant robustness in the automotive supply chain network, showing optimal risk resistance even in the scenario of deliberate attacks. Therefore, when constructing network connections in the automotive supply chain, it is advisable to focus on establishing hub-like connections with upstream and downstream partners, while also preventing both internal and external risks of deliberate attacks, thereby enhancing the overall robustness of the entire supply chain network. These findings provide insights into risk mitigation in terms of network construction for automotive supply chain management and optimization.</p>\",\"PeriodicalId\":47264,\"journal\":{\"name\":\"Electronic Commerce Research\",\"volume\":\"55 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronic Commerce Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1007/s10660-024-09814-9\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Commerce Research","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s10660-024-09814-9","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
Robustness of automotive supply chain networks based on complex network analysis
Recently, global environmental and political changes have heightened the risk of supply chain disruptions. To bolster the risk resilience of the supply chain, this paper delves into its robustness structure using complex network theory. Firstly, a network of automotive suppliers is established to analyze its structural characteristics. Notably, the network degree distribution manifests a power-law distribution, highlighting an intricate interplay of mutual cooperation within cohesive communities. Subsequently, the paper performs simulation analyses under scenarios involving both random and deliberate attacks on the automotive supply chain network. The focus is on assessing the network efficiency, the size of the largest connected subgraph, and the variations in three distinct module structures. The results indicate that the automotive supply network exhibits good robustness under random attacks but relatively weak robustness under deliberate attacks. Additionally, a hub-like structure demonstrates significant robustness in the automotive supply chain network, showing optimal risk resistance even in the scenario of deliberate attacks. Therefore, when constructing network connections in the automotive supply chain, it is advisable to focus on establishing hub-like connections with upstream and downstream partners, while also preventing both internal and external risks of deliberate attacks, thereby enhancing the overall robustness of the entire supply chain network. These findings provide insights into risk mitigation in terms of network construction for automotive supply chain management and optimization.
期刊介绍:
The Internet and the World Wide Web have brought a fundamental change in the way that individuals access data, information and services. Individuals have access to vast amounts of data, to experts and services that are not limited in time or space. This has forced business to change the way in which they conduct their commercial transactions with their end customers and with other businesses, resulting in the development of a global market through the Internet. The emergence of the Internet and electronic commerce raises many new research issues. The Electronic Commerce Research journal will serve as a forum for stimulating and disseminating research into all facets of electronic commerce - from research into core enabling technologies to work on assessing and understanding the implications of these technologies on societies, economies, businesses and individuals. The journal concentrates on theoretical as well as empirical research that leads to better understanding of electronic commerce and its implications. Topics covered by the journal include, but are not restricted to the following subjects as they relate to the Internet and electronic commerce: Dissemination of services through the Internet;Intelligent agents technologies and their impact;The global impact of electronic commerce;The economics of electronic commerce;Fraud reduction on the Internet;Mobile electronic commerce;Virtual electronic commerce systems;Application of computer and communication technologies to electronic commerce;Electronic market mechanisms and their impact;Auctioning over the Internet;Business models of Internet based companies;Service creation and provisioning;The job market created by the Internet and electronic commerce;Security, privacy, authorization and authentication of users and transactions on the Internet;Electronic data interc hange over the Internet;Electronic payment systems and electronic funds transfer;The impact of electronic commerce on organizational structures and processes;Supply chain management through the Internet;Marketing on the Internet;User adaptive advertisement;Standards in electronic commerce and their analysis;Metrics, measurement and prediction of user activity;On-line stock markets and financial trading;User devices for accessing the Internet and conducting electronic transactions;Efficient search techniques and engines on the WWW;Web based languages (e.g., HTML, XML, VRML, Java);Multimedia storage and distribution;Internet;Collaborative learning, gaming and work;Presentation page design techniques and tools;Virtual reality on the net and 3D visualization;Browsers and user interfaces;Web site management techniques and tools;Managing middleware to support electronic commerce;Web based education, and training;Electronic journals and publishing on the Internet;Legal issues, taxation and property rights;Modeling and design of networks to support Internet applications;Modeling, design and sizing of web site servers;Reliability of intensive on-line applications;Pervasive devices and pervasive computing in electronic commerce;Workflow for electronic commerce applications;Coordination technologies for electronic commerce;Personalization and mass customization technologies;Marketing and customer relationship management in electronic commerce;Service creation and provisioning. Audience: Academics and professionals involved in electronic commerce research and the application and use of the Internet. Managers, consultants, decision-makers and developers who value the use of electronic com merce research results. Special Issues: Electronic Commerce Research publishes from time to time a special issue of the devoted to a single subject area. If interested in serving as a guest editor for a special issue, please contact the Editor-in-Chief J. Christopher Westland at westland@uic.edu with a proposal for the special issue. Officially cited as: Electron Commer Res