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

• 作 者: Xingyu Li Baicun Wang Chao Liu Theodor Freiheit Bogdan I.Epureanu
• 机 构: Department of Mechanical Engineering, University of Michigan, Ann Arbor,MI 48109, USA;School of Engi
• 出 处: 中国机械工程学报
• 发表日期: 2020年4期
• 关键词: Intelligent manufacturing system COVID-19 pandemic Industrial network Supply cha

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.