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Data Analytics in Industry 4.0: A Survey
Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insigh...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384093/ https://www.ncbi.nlm.nih.gov/pubmed/34456613 http://dx.doi.org/10.1007/s10796-021-10190-0 |
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author | Duan, Lian Da Xu, Li |
author_facet | Duan, Lian Da Xu, Li |
author_sort | Duan, Lian |
collection | PubMed |
description | Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend. |
format | Online Article Text |
id | pubmed-8384093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-83840932021-08-24 Data Analytics in Industry 4.0: A Survey Duan, Lian Da Xu, Li Inf Syst Front Article Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend. Springer US 2021-08-24 /pmc/articles/PMC8384093/ /pubmed/34456613 http://dx.doi.org/10.1007/s10796-021-10190-0 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Duan, Lian Da Xu, Li Data Analytics in Industry 4.0: A Survey |
title | Data Analytics in Industry 4.0: A Survey |
title_full | Data Analytics in Industry 4.0: A Survey |
title_fullStr | Data Analytics in Industry 4.0: A Survey |
title_full_unstemmed | Data Analytics in Industry 4.0: A Survey |
title_short | Data Analytics in Industry 4.0: A Survey |
title_sort | data analytics in industry 4.0: a survey |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384093/ https://www.ncbi.nlm.nih.gov/pubmed/34456613 http://dx.doi.org/10.1007/s10796-021-10190-0 |
work_keys_str_mv | AT duanlian dataanalyticsinindustry40asurvey AT daxuli dataanalyticsinindustry40asurvey |