2020
DOI: 10.1049/iet-cim.2020.0041
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Address business crisis caused by COVID‐19 with collaborative intelligent manufacturing technologies

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Cited by 70 publications
(39 citation statements)
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References 24 publications
(36 reference statements)
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“…Currently, the global impact of COVID-19 virus has seriously disrupted the production and lives of people [ 8 ]. According to the process and natural impacts, the public emergencies could fall into the following categories, as shown in Fig.…”
Section: Public Emergencies and Their Requirementsmentioning
confidence: 99%
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“…Currently, the global impact of COVID-19 virus has seriously disrupted the production and lives of people [ 8 ]. According to the process and natural impacts, the public emergencies could fall into the following categories, as shown in Fig.…”
Section: Public Emergencies and Their Requirementsmentioning
confidence: 99%
“…At the manufacturing end, the restriction of personnel movement, as well as active and passive isolation poses a very serious challenge to follow production schedules. Due to the shortage of labor, the production capacity of some enterprises cannot be recovered quickly [ 8 ]. In addition, due to lack of flexibility, some companies cannot adjust production capacity quickly to respond to changes in demand.…”
Section: Introductionmentioning
confidence: 99%
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“…The 1918 epidemic of influenza affected the young and healthy, ranging from 15 to 45 with immediate lethality. Every individual had to protect themselves and their dear ones irrespective of their age groups ( Shen et al, 2020 ; Hernández-Orallo et al, 2020 ).…”
Section: Learning From the Previous Pandemicsmentioning
confidence: 99%
“…In this context, Industry 4.0, with cloud manufacturing, the Internet of things (IoT), big data analytics, and digital twins, can improve the performance in these scenarios [11]. Recent research pointed to new opportunities for reducing disruption risks using data-driven approaches, and the analyses of the COVID-19 evolution provide significant evidence for the urgent needs of supply chain digital twins [12].…”
Section: Introductionmentioning
confidence: 99%