Title :
Complex networks based manufacturing service and task management in cloud environment
Author :
Ying Cheng;Dongming Zhao;Fei Tao;Lin Zhang;Yongkui Liu
Author_Institution :
School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing, 100191, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
In the process of development and application of service-oriented manufacturing (SOM) system, e.g., cloud manufacturing (CMfg), manufacturing resource allocation is always one of the most important issues need to be addressed. With the permeation of Internet of things (IoT), big data, and cloud technologies in manufacturing, manufacturing service and task management in SOM is facing some new challenges under the cloud environment. In consideration of the characteristics of cloud environment (i.e., complexity, sociality, dynamics, uncertainty, distribution, expandability, etc.), a manufacturing service and task management method based on complex networks is proposed in this paper. The models of manufacturing service network (S_Net) and manufacturing task network (T_Net) are built according to the digital description of manufacturing service and task. Then the manufacturing service management upon S_Net and manufacturing task management upon T_Net are discussed respectively. Finally, the conclusion and future works are pointed out.
Keywords :
"Manufacturing","Cloud computing","Correlation","Complex networks","Collaborative work","Computational modeling","Resource management"
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2015 IEEE 10th Conference on
DOI :
10.1109/ICIEA.2015.7334119