Abstract
During the past years, a number of smart manufacturing concepts have been proposed, such as cloud manufacturing, Industry 4.0, and Industrial Internet. One of their common aims is to optimize the collaborative resource configuration across enterprises by establishing platforms that aggregate distributed resources. In all of these concepts, a complete manufacturing system consists of distributed physical manufacturing systems and a platform containing the virtual manufacturing systems mapped from the physical ones. We call such manufacturing systems platform-based smart manufacturing systems (PSMSs). A PSMS can therefore be regarded as a huge cyber-physical system with the cyber part being the platform and the physical part being the corresponding physical manufacturing system. A significant issue for a PSMS is how to optimally schedule the aggregated resources. Multi-agent technology provides an effective approach for solving this issue. In this paper we propose a multi-agent architecture for scheduling in PSMSs, which consists of a platform-level scheduling multi-agent system (MAS) and an enterprise-level scheduling MAS. Procedures, characteristics, and requirements of scheduling in PSMSs are presented. A model for scheduling in a PSMS based on the architecture is proposed. A case study is conducted to demonstrate the effectiveness of the proposed architecture and model.
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Yong-kui LIU, Xue-song ZHANG, Lin ZHANG, Fei TAO, and Li-hui WANG declare that they have no conflict of interest.
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Project supported by the National Natural Science Foundation of China (Nos. 61973243, 61873014, and 51875030) and the National Key Research and Development Program of China (No. 2018YFB1702703)
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Liu, Yk., Zhang, Xs., Zhang, L. et al. A multi-agent architecture for scheduling in platform-based smart manufacturing systems. Front Inform Technol Electron Eng 20, 1465–1492 (2019). https://doi.org/10.1631/FITEE.1900094
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DOI: https://doi.org/10.1631/FITEE.1900094