Digitized Mass Production, Real-Time Process Monitoring, and Big Data Analytics Systems in Sustainable Smart Manufacturing
The aim of this paper is to synthesize and analyze existing evidence on sustainable smart manufacturing. Using and replicating data from Capgemini, Deloitte, Forrester, PwC, Software AG, we.CONECT, and World Economic Forum, we performed analyses and made estimates regarding the relationship between...
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| Veröffentlicht in: | Journal of self-governance and management economics 2020, Vol.8 (3), p.37-43 |
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| container_end_page | 43 |
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| container_issue | 3 |
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| container_title | Journal of self-governance and management economics |
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| creator | White, Thomas Grecu, Iulia Grecu, Gheorghe |
| description | The aim of this paper is to synthesize and analyze existing evidence on sustainable smart manufacturing. Using and replicating data from Capgemini, Deloitte, Forrester, PwC, Software AG, we.CONECT, and World Economic Forum, we performed analyses and made estimates regarding the relationship between digitized mass production, real-time process monitoring, and big data analytics systems. Data were analyzed using structural equation modeling. |
| doi_str_mv | 10.22381/JSME8320205 |
| format | Article |
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| ispartof | Journal of self-governance and management economics, 2020, Vol.8 (3), p.37-43 |
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| source | Central and Eastern European Online Library - CEEOL Journals |
| subjects | Bibliometrics Big Data Business Economy / Management Conflicts of interest Data analysis Data processing Decision making Digitization Economic growth Economic summit conferences ICT Information and Communications Technologies Industry 4.0 International relations Internet Land use Manufacturing Neurosciences Purchase intention Software Software industry Structural equation modeling Sustainability |
| title | Digitized Mass Production, Real-Time Process Monitoring, and Big Data Analytics Systems in Sustainable Smart Manufacturing |
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