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Address business crisis caused by COVID‐19 with collaborative intelligent manufacturing technologies

  • Published:2020-06 Issue:2 Volume:2 Page:96-99
  • ISSN:2516-8398
  • Container-title:IET Collaborative Intelligent Manufacturing
  • language:en
  • Short-container-title:IET Collaborative Intelligent Manufacturing

Author:

Shen Weiming1,Yang Chen2,Gao Liang1ORCID

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and TechnologyWuhanPeople's Republic of China

2. School of Computer Science and Technology, Beijing Institute of TechnologyBeijingPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Computer Science Applications,Hardware and Architecture

Reference25 articles.

1. A brave new world: lessons from the COVID‐19 pandemic for transitioning to sustainable supply and production;Sarkis J.;Resour. Conserv. Recycl.,2020

2. Potential applications of 5G communication technologies in collaborative intelligent manufacturing;Shi Y.;IET Collaborat. Intell. Manuf.,2019

3. Integration of digital twin and deep learning in cyber‐physical systems: towards smart manufacturing;Lee J.;IET Collaborat. Intell. Manuf.,2020

4. The internet of things in manufacturing: key issues and potential applications;Yang C.;IEEE Syst. Man Cybern. Mag.,2018

5. Cloud manufacturing: a new service‐oriented networked manufacturing model;Li B.H.;Comput. Integr. Manuf. Syst.,2010

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