TY - JOUR
T1 - Advanced manufacturing systems
T2 - supply–demand matching of manufacturing resource based on complex networks and Internet of Things
AU - Cheng, Ying
AU - Tao, Fei
AU - Xu, Lida
AU - Zhao, Dongming
N1 - Publisher Copyright:
© 2016, © 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - After investigation on the existing advanced manufacturing systems (AMSs), it is found that supply–demand matching of manufacturing resource is one of the common issues to be addressed in all AMSs, and methods for addressing this issue have evolved from P2P (peer-to-peer)-based, to information centre-based, and to platform (or system)-based matching, and are moving towards socialisation and service-based solutions. In order to adapt to this trend, a new method for manufacturing resource supply–demand matching based on complex networks and Internet of Things (IoT) is proposed, and a four-layered architecture for implementing this method is designed. In this method, IoT technology is employed to realise the intelligent perception and accessing of various manufacturing resources and capabilities (MR&C), which enables logical aggregation of various distributed MR&C in the form of services. Then complex networks model and theory are used to realise the efficient manufacturing service management, optimal-allocation, and supply–demand matching. In this article, the specific key technologies for implementing the method are presented, including key technologies for manufacturing service generation and aggregation, manufacturing demand/task management, supply–demand matching of MR&C in the form of services, and value/utility adding based on manufacturing service network (MSN), manufacturing task network (MTN) and manufacturing enterprises collaborative network (ECN).
AB - After investigation on the existing advanced manufacturing systems (AMSs), it is found that supply–demand matching of manufacturing resource is one of the common issues to be addressed in all AMSs, and methods for addressing this issue have evolved from P2P (peer-to-peer)-based, to information centre-based, and to platform (or system)-based matching, and are moving towards socialisation and service-based solutions. In order to adapt to this trend, a new method for manufacturing resource supply–demand matching based on complex networks and Internet of Things (IoT) is proposed, and a four-layered architecture for implementing this method is designed. In this method, IoT technology is employed to realise the intelligent perception and accessing of various manufacturing resources and capabilities (MR&C), which enables logical aggregation of various distributed MR&C in the form of services. Then complex networks model and theory are used to realise the efficient manufacturing service management, optimal-allocation, and supply–demand matching. In this article, the specific key technologies for implementing the method are presented, including key technologies for manufacturing service generation and aggregation, manufacturing demand/task management, supply–demand matching of MR&C in the form of services, and value/utility adding based on manufacturing service network (MSN), manufacturing task network (MTN) and manufacturing enterprises collaborative network (ECN).
KW - Advanced manufacturing systems (AMSs)
KW - Internet of Tings (IoT)
KW - complex network
KW - enterprises collaborative network (ECN)
KW - hypernetwork
KW - supply–demand matching
UR - https://www.scopus.com/pages/publications/84966861877
U2 - 10.1080/17517575.2016.1183263
DO - 10.1080/17517575.2016.1183263
M3 - 文章
AN - SCOPUS:84966861877
SN - 1751-7575
VL - 12
SP - 780
EP - 797
JO - Enterprise Information Systems
JF - Enterprise Information Systems
IS - 7
ER -