4.7 Review

Smart Manufacturing and Intelligent Manufacturing: A Comparative Review

Journal

ENGINEERING
Volume 7, Issue 6, Pages 738-757

Publisher

ELSEVIER
DOI: 10.1016/j.eng.2020.07.017

Keywords

Smart manufacturing; Intelligent manufacturing; Industry 4.0; Human-cyber-physical system (HCPS)

Funding

  1. International Postdoctoral Exchange Fellowship Program [20180025]
  2. National Natural Science Foundation of China [51703180]
  3. China Postdoctoral Science Foundation [2018M630191, 2017M610634]
  4. Shaanxi Postdoctoral Science Foundation [2017BSHEDZZ73]
  5. Funda-mental Research Funds for the Central Universities [xpt012020006, xjj2017024]

Ask authors/readers for more resources

This research provides a basis for understanding the differences and relationship between smart manufacturing and intelligent manufacturing through qualitative and quantitative analysis. Key topics discussed include origins, definitions, evolutionary paths, and key technologies.
The application of intelligence to manufacturing has emerged as a compelling topic for researchers and industries around the world. However, different terminologies, namely smart manufacturing (SM) and intelligent manufacturing (IM), have been applied to what may be broadly characterized as a similar paradigm by some researchers and practitioners. While SM and IM are similar, they are not identical. From an evolutionary perspective, there has been little consideration on whether the definition, thought, connotation, and technical development of the concepts of SM or IM are consistent in the literature. To address this gap, the work performs a qualitative and quantitative investigation of research literature to systematically compare inherent differences of SM and IM and clarify the relationship between SM and IM. A bibliometric analysis of publication sources, annual publication numbers, keyword frequency, and top regions of research and development establishes the scope and trends of the currently presented research. Critical topics discussed include origin, definitions, evolutionary path, and key technologies of SM and IM. The implementation architecture, standards, and national focus are also discussed. In this work, a basis to understand SM and IM is provided, which is increasingly important because the trend to merge both terminologies rises in Industry 4.0 as intelligence is being rapidly applied to modern manufacturing and human-cyber-physical systems. (C) 2021 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.

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