JOURNAL ARTICLE

Advanced manufacturing systems: supply–demand matching of manufacturing resource based on complex networks and Internet of Things

Ying ChengFei TaoLida XuDongming Zhao

Year: 2016 Journal:   Enterprise Information Systems Vol: 12 (7)Pages: 780-797   Publisher: Taylor & Francis

Abstract

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).

Keywords:
Matching (statistics) Computer science Service (business) Manufacturing execution system Cloud manufacturing Task (project management) Key (lock) Resource (disambiguation) Computer-integrated manufacturing Manufacturing engineering Process management Business Systems engineering Computer network Engineering Cloud computing Computer security Marketing

Metrics

101
Cited By
11.74
FWCI (Field Weighted Citation Impact)
40
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Digital Transformation in Industry
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Collaboration in agile enterprises
Social Sciences →  Business, Management and Accounting →  Management of Technology and Innovation
Service and Product Innovation
Social Sciences →  Business, Management and Accounting →  Marketing

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