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Intelligent Manufacturing Systems in COVID-19 Pandemic and Beyond: Framework and Impact Assessment

Authors
  • Li, Xingyu1
  • Wang, Baicun1
  • Liu, Chao2
  • Freiheit, Theodor1
  • Epureanu, Bogdan I.1
  • 1 University of Michigan, Ann Arbor, MI, 48109, USA , Ann Arbor (United States)
  • 2 Cardiff University, Cardiff, CF24 3AA, UK , Cardiff (United Kingdom)
Type
Published Article
Journal
Chinese Journal of Mechanical Engineering
Publisher
Springer Singapore
Publication Date
Aug 28, 2020
Volume
33
Issue
1
Identifiers
DOI: 10.1186/s10033-020-00476-w
Source
Springer Nature
Keywords
License
Green

Abstract

Pandemics like COVID-19 have created a spreading and ever-higher healthy threat to the humans in the manufacturing system which incurs severe disruptions and complex issues to industrial networks. The intelligent manufacturing (IM) systems are promising to create a safe working environment by using the automated manufacturing assets which are monitored by the networked sensors and controlled by the intelligent decision-making algorithms. The relief of the production disruption by IM technologies facilitates the reconnection of the good and service flows in the network, which mitigates the severity of industrial chain disruption. In this study, we create a novel intelligent manufacturing framework for the production recovery under the pandemic and build an assessment model to evaluate the impacts of the IM technologies on industrial networks. Considering the constraints of the IM resources, we formulate an optimization model to schedule the allocation of IM resources according to the mutual market demands and the severity of the pandemic.

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