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Smart manufacturing systems: state of the art and future trends

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Abstract

With the development and application of advanced technologies such as Cyber Physical System, Internet of Things, Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., more manufacturing enterprises are transforming to intelligent enterprises. Smart manufacturing systems (SMSs) have become the focus of attention of some countries and manufacturing enterprises. At present, there are some applications of SMSs in different industrial fields. However, there is still a lack of a unified definition of SMSs and a unified analysis of requirements. In order to have a comprehensive understanding of SMSs, this paper summarized the evolution, definition, objectives, functional requirements, business requirements, technical requirements, and components of SMSs. At the same time, it points out the current development status and level. Based on above, an autonomous SMSs model driven by dynamic demand and key performance indicators is proposed. Through the review of this paper, the reference can be provided for the transformation of more manufacturing enterprises from the traditional to the intellectualized ones.

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Acknowledgements

The authors appreciate the editor and anonymous reviewers for their helpful comments and suggestions on this article.

The author would like to thank the Shanghai Institute of Producer Service Development (SIPSD), Shanghai Research Centre for industrial Informatics (SRCI2), and National Natural Science Foundation of China (Grant No. 71632008) for the funding support to this research.

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Authors and Affiliations

  1. Shanghai Institute of Producer Service Development, Shanghai Research Center for industrial Informatics, Shanghai Key Lab of Advanced Manufacturing Environment, Institute of Intelligent Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Dongchuan Road 800, Minhang District, Shanghai City, People’s Republic of China

    Y. J. Qu, X. G. Ming, Z. W. Liu & X. Y. Zhang

  2. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen, People’s Republic of China

    Z. T. Hou

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  1. Y. J. Qu
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Qu, Y.J., Ming, X.G., Liu, Z.W. et al. Smart manufacturing systems: state of the art and future trends. Int J Adv Manuf Technol 103, 3751–3768 (2019). https://doi.org/10.1007/s00170-019-03754-7

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