期刊
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
卷 20, 期 2, 页码 1855-1864出版社
SPRINGER
DOI: 10.1007/s10586-017-0852-1
关键词
Smart manufacturing; Load-balancing; Multi-agent system; Hybrid production; Cyber-physical system
资金
- National Science Foundation of China [51605168]
- National Program on Key Basic Research Project of China [2013CB035 403]
- Science and Technology Planning Project of Guangdong Province [2016A010102008, 2014B090921003]
- Science and Technology Planning Project of Guangzhou City [201508030007, 201604010064]
- National Key Technology R&D Program of China [2014BAD08B01]
- program Of Shanghai Subject Chief Scientist [14XD1402000]
The concept of Industry 4.0 that covers the topics of Internet of Things, cyber-physical system, and smart manufacturing, is a result of increasing demand of mass customized manufacturing. In this paper, a smart manufacturing framework of Industry 4.0 is presented. In the proposed framework, the shop-floor entities (machines, conveyers, etc.), the smart products and the cloud can communicate and negotiate interactively through networks. The shop-floor entities can be considered as agents based on the theory of multi-agent system. These agents implement dynamic reconfiguration in a collaborative manner to achieve agility and flexibility. However, without global coordination, problems such as load-unbalance and inefficiency may occur due to different abilities and performances of agents. Therefore, the intelligent evaluation and control algorithms are proposed to reduce the load-unbalance with the assistance of big data feedback. The experimental results indicate that the presented algorithms can easily be deployed in smart manufacturing system and can improve both load-balance and efficiency.
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