Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Pai Zheng, Honghui wang, Zhiqian Sang, Ray Y. Zhong, Yongkui Liu, Chao Liu, Khamdi Mubarok, Shiqiang Yu, Xun Xu

Research output: Journal article publicationReview articleAcademic researchpeer-review

222 Citations (Scopus)

Abstract

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

Original languageEnglish
Pages (from-to)137-150
Number of pages14
JournalFrontiers of Mechanical Engineering
Volume13
Issue number2
DOIs
Publication statusPublished - 1 Jun 2018
Externally publishedYes

Keywords

  • big data analytics
  • cyber-physical systems
  • framework
  • Industry 4.0
  • Internet of Things
  • smart manufacturing systems

ASJC Scopus subject areas

  • Mechanical Engineering

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