Intelligent Supply Chain Integration and Management Based on Cloud of Things

被引:44
|
作者
Yan, Junwei [1 ,2 ,3 ]
Xin, Sijin [1 ]
Liu, Quan [1 ]
Xu, Wenjun [1 ,2 ,3 ]
Yang, Liwen [4 ]
Fan, Li [4 ]
Chen, Bo [4 ]
Wang, Qiang [4 ]
机构
[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Joint Mobile Commun Lab, Wuhan 430070, Peoples R China
[3] Hubei Co Ltd, China Mobile Grp, Wuhan 430070, Peoples R China
[4] Hubei Co Ltd, China Mobile Grp, Wuhan 430023, Peoples R China
基金
中国国家自然科学基金;
关键词
INFORMATION-SYSTEMS; SENSOR NETWORK; IMPLEMENTATION; INTERNET;
D O I
10.1155/2014/624839
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The fierce global competition and market turbulence has been forcing the enterprises towards to the integration and intelligence for supply chain management, and the seamless information sharing and collaboration as well as operation agility are the challenges which need to be conquered, in terms of the highly distributed and heterogeneous resources located in separated warehouses. Although a number of works have been done to achieve the aforementioned targets, few of them are able to provide an overall integration and intelligence support for such system management. In this context, a novel intelligent supply chain integration and management system based on Cloud of Things is presented, in order to provide flexible and agile approaches to facilitate the resource sharing and participant collaboration in the whole supply chain life cycle. Furthermore, the enabling technologies, such as intelligent supply chain condition perception, heterogeneous network access convergence, and resource servicisation, are also studied. Finally, a case study together with the prototype system is implemented and demonstrates that the developed system can efficiently realise the integration of supply chain processes in the form of services, and also provide the effective intelligence support for physical resource management, so as to achieve an overall performance assurance for the system operation.
引用
收藏
页数:15
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