Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook Article Swipe
Ricardo Silva Peres
,
Xiaodong Jia
,
Jay Lee
,
Keyi Sun
,
Armando Walter Colombo
,
José Barata
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3042874
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/access.2020.3042874
The advent of the Industry 4.0 initiative has made it so that manufacturing environments are becoming more and more dynamic, connected but also inherently more complex, with additional inter-dependencies, uncertainties and large volumes of data being generated. Recent advances in Industrial Artificial Intelligence have showcased the potential of this technology to assist manufacturers in tackling the challenges associated with this digital transformation of Cyber-Physical Systems, through its data-driven predictive analytics and capacity to assist decision-making in highly complex, non-linear and often multistage environments. However, the industrial adoption of such solutions is still relatively low beyond the experimental pilot stage, as real environments provide unique and difficult challenges for which organizations are still unprepared. The aim of this paper is thus two-fold. First, a systematic review of current Industrial Artificial Intelligence literature is presented, focusing on its application in real manufacturing environments to identify the main enabling technologies and core design principles. Then, a set of key challenges and opportunities to be addressed by future research efforts are formulated along with a conceptual framework to bridge the gap between research in this field and the manufacturing industry, with the goal of promoting industrial adoption through a successful transition towards a digitized and data-driven company-wide culture. This paper is among the first to provide a clear definition and holistic view of Industrial Artificial Intelligence in the Industry 4.0 landscape, identifying and analysing its fundamental building blocks and ongoing trends. Its findings are expected to assist and empower researchers and manufacturers alike to better understand the requirements and steps necessary for a successful transition into Industry 4.0 supported by AI, as well as the challenges that may arise during this process.
Related Topics
Concepts
Interdependence
Computer science
Industry 4.0
Field (mathematics)
Big data
Analytics
Data science
Manufacturing
Bridge (graph theory)
Systematic review
Cyber-physical system
Conceptual framework
Knowledge management
Management science
Engineering
Business
Law
Marketing
Philosophy
Medicine
Political science
Operating system
MEDLINE
Embedded system
Epistemology
Internal medicine
Mathematics
Pure mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2020.3042874
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdf
- OA Status
- gold
- Cited By
- 565
- References
- 118
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3111221273
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3111221273Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2020.3042874Digital Object Identifier
- Title
-
Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and OutlookWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Ricardo Silva Peres, Xiaodong Jia, Jay Lee, Keyi Sun, Armando Walter Colombo, José BarataList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2020.3042874Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdfDirect OA link when available
- Concepts
-
Interdependence, Computer science, Industry 4.0, Field (mathematics), Big data, Analytics, Data science, Manufacturing, Bridge (graph theory), Systematic review, Cyber-physical system, Conceptual framework, Knowledge management, Management science, Engineering, Business, Law, Marketing, Philosophy, Medicine, Political science, Operating system, MEDLINE, Embedded system, Epistemology, Internal medicine, Mathematics, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
565Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 148, 2024: 178, 2023: 148, 2022: 65, 2021: 26Per-year citation counts (last 5 years)
- References (count)
-
118Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3111221273 |
|---|---|
| doi | https://doi.org/10.1109/access.2020.3042874 |
| ids.doi | https://doi.org/10.1109/access.2020.3042874 |
| ids.mag | 3111221273 |
| ids.openalex | https://openalex.org/W3111221273 |
| fwci | 43.53102527 |
| type | article |
| title | Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook |
| biblio.issue | |
| biblio.volume | 8 |
| biblio.last_page | 220139 |
| biblio.first_page | 220121 |
| topics[0].id | https://openalex.org/T10763 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9976000189781189 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2209 |
| topics[0].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[0].display_name | Digital Transformation in Industry |
| topics[1].id | https://openalex.org/T12111 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9940000176429749 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2209 |
| topics[1].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[1].display_name | Industrial Vision Systems and Defect Detection |
| topics[2].id | https://openalex.org/T11741 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.957099974155426 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2209 |
| topics[2].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[2].display_name | Flexible and Reconfigurable Manufacturing Systems |
| is_xpac | False |
| apc_list.value | 1850 |
| apc_list.currency | USD |
| apc_list.value_usd | 1850 |
| apc_paid.value | 1850 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1850 |
| concepts[0].id | https://openalex.org/C185874996 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6368002891540527 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q269699 |
| concepts[0].display_name | Interdependence |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.606357991695404 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2777986313 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6012053489685059 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1661989 |
| concepts[2].display_name | Industry 4.0 |
| concepts[3].id | https://openalex.org/C9652623 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5407952666282654 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q190109 |
| concepts[3].display_name | Field (mathematics) |
| concepts[4].id | https://openalex.org/C75684735 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5239458084106445 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q858810 |
| concepts[4].display_name | Big data |
| concepts[5].id | https://openalex.org/C79158427 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4737188220024109 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q485396 |
| concepts[5].display_name | Analytics |
| concepts[6].id | https://openalex.org/C2522767166 |
| concepts[6].level | 1 |
| concepts[6].score | 0.45022106170654297 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[6].display_name | Data science |
| concepts[7].id | https://openalex.org/C175700187 |
| concepts[7].level | 2 |
| concepts[7].score | 0.44327160716056824 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q187939 |
| concepts[7].display_name | Manufacturing |
| concepts[8].id | https://openalex.org/C100776233 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4322279095649719 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2532492 |
| concepts[8].display_name | Bridge (graph theory) |
| concepts[9].id | https://openalex.org/C189708586 |
| concepts[9].level | 3 |
| concepts[9].score | 0.42341727018356323 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1504425 |
| concepts[9].display_name | Systematic review |
| concepts[10].id | https://openalex.org/C179768478 |
| concepts[10].level | 2 |
| concepts[10].score | 0.41788867115974426 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1120057 |
| concepts[10].display_name | Cyber-physical system |
| concepts[11].id | https://openalex.org/C14224292 |
| concepts[11].level | 2 |
| concepts[11].score | 0.41107022762298584 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q13600188 |
| concepts[11].display_name | Conceptual framework |
| concepts[12].id | https://openalex.org/C56739046 |
| concepts[12].level | 1 |
| concepts[12].score | 0.3616991639137268 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q192060 |
| concepts[12].display_name | Knowledge management |
| concepts[13].id | https://openalex.org/C539667460 |
| concepts[13].level | 1 |
| concepts[13].score | 0.34852540493011475 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q2414942 |
| concepts[13].display_name | Management science |
| concepts[14].id | https://openalex.org/C127413603 |
| concepts[14].level | 0 |
| concepts[14].score | 0.22991931438446045 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[14].display_name | Engineering |
| concepts[15].id | https://openalex.org/C144133560 |
| concepts[15].level | 0 |
| concepts[15].score | 0.14837384223937988 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[15].display_name | Business |
| concepts[16].id | https://openalex.org/C199539241 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7748 |
| concepts[16].display_name | Law |
| concepts[17].id | https://openalex.org/C162853370 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q39809 |
| concepts[17].display_name | Marketing |
| concepts[18].id | https://openalex.org/C138885662 |
| concepts[18].level | 0 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[18].display_name | Philosophy |
| concepts[19].id | https://openalex.org/C71924100 |
| concepts[19].level | 0 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[19].display_name | Medicine |
| concepts[20].id | https://openalex.org/C17744445 |
| concepts[20].level | 0 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q36442 |
| concepts[20].display_name | Political science |
| concepts[21].id | https://openalex.org/C111919701 |
| concepts[21].level | 1 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[21].display_name | Operating system |
| concepts[22].id | https://openalex.org/C2779473830 |
| concepts[22].level | 2 |
| concepts[22].score | 0.0 |
| concepts[22].wikidata | https://www.wikidata.org/wiki/Q1540899 |
| concepts[22].display_name | MEDLINE |
| concepts[23].id | https://openalex.org/C149635348 |
| concepts[23].level | 1 |
| concepts[23].score | 0.0 |
| concepts[23].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[23].display_name | Embedded system |
| concepts[24].id | https://openalex.org/C111472728 |
| concepts[24].level | 1 |
| concepts[24].score | 0.0 |
| concepts[24].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[24].display_name | Epistemology |
| concepts[25].id | https://openalex.org/C126322002 |
| concepts[25].level | 1 |
| concepts[25].score | 0.0 |
| concepts[25].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[25].display_name | Internal medicine |
| concepts[26].id | https://openalex.org/C33923547 |
| concepts[26].level | 0 |
| concepts[26].score | 0.0 |
| concepts[26].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[26].display_name | Mathematics |
| concepts[27].id | https://openalex.org/C202444582 |
| concepts[27].level | 1 |
| concepts[27].score | 0.0 |
| concepts[27].wikidata | https://www.wikidata.org/wiki/Q837863 |
| concepts[27].display_name | Pure mathematics |
| keywords[0].id | https://openalex.org/keywords/interdependence |
| keywords[0].score | 0.6368002891540527 |
| keywords[0].display_name | Interdependence |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.606357991695404 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/industry-4.0 |
| keywords[2].score | 0.6012053489685059 |
| keywords[2].display_name | Industry 4.0 |
| keywords[3].id | https://openalex.org/keywords/field |
| keywords[3].score | 0.5407952666282654 |
| keywords[3].display_name | Field (mathematics) |
| keywords[4].id | https://openalex.org/keywords/big-data |
| keywords[4].score | 0.5239458084106445 |
| keywords[4].display_name | Big data |
| keywords[5].id | https://openalex.org/keywords/analytics |
| keywords[5].score | 0.4737188220024109 |
| keywords[5].display_name | Analytics |
| keywords[6].id | https://openalex.org/keywords/data-science |
| keywords[6].score | 0.45022106170654297 |
| keywords[6].display_name | Data science |
| keywords[7].id | https://openalex.org/keywords/manufacturing |
| keywords[7].score | 0.44327160716056824 |
| keywords[7].display_name | Manufacturing |
| keywords[8].id | https://openalex.org/keywords/bridge |
| keywords[8].score | 0.4322279095649719 |
| keywords[8].display_name | Bridge (graph theory) |
| keywords[9].id | https://openalex.org/keywords/systematic-review |
| keywords[9].score | 0.42341727018356323 |
| keywords[9].display_name | Systematic review |
| keywords[10].id | https://openalex.org/keywords/cyber-physical-system |
| keywords[10].score | 0.41788867115974426 |
| keywords[10].display_name | Cyber-physical system |
| keywords[11].id | https://openalex.org/keywords/conceptual-framework |
| keywords[11].score | 0.41107022762298584 |
| keywords[11].display_name | Conceptual framework |
| keywords[12].id | https://openalex.org/keywords/knowledge-management |
| keywords[12].score | 0.3616991639137268 |
| keywords[12].display_name | Knowledge management |
| keywords[13].id | https://openalex.org/keywords/management-science |
| keywords[13].score | 0.34852540493011475 |
| keywords[13].display_name | Management science |
| keywords[14].id | https://openalex.org/keywords/engineering |
| keywords[14].score | 0.22991931438446045 |
| keywords[14].display_name | Engineering |
| keywords[15].id | https://openalex.org/keywords/business |
| keywords[15].score | 0.14837384223937988 |
| keywords[15].display_name | Business |
| language | en |
| locations[0].id | doi:10.1109/access.2020.3042874 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2485537415 |
| locations[0].source.issn | 2169-3536 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2169-3536 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | IEEE Access |
| locations[0].source.host_organization | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_name | Institute of Electrical and Electronics Engineers |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319808 |
| locations[0].source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | IEEE Access |
| locations[0].landing_page_url | https://doi.org/10.1109/access.2020.3042874 |
| locations[1].id | pmh:oai:run.unl.pt:10362/115087 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400678 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa) |
| locations[1].source.host_organization | https://openalex.org/I83558840 |
| locations[1].source.host_organization_name | Universidade Nova de Lisboa |
| locations[1].source.host_organization_lineage | https://openalex.org/I83558840 |
| locations[1].license | other-oa |
| locations[1].pdf_url | http://hdl.handle.net/10362/115087 |
| locations[1].version | submittedVersion |
| locations[1].raw_type | article |
| locations[1].license_id | https://openalex.org/licenses/other-oa |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | https://doi.org/10.1109/ACCESS.2020.3042874 |
| locations[2].id | pmh:oai:doaj.org/article:b2d65dc02bf6498bb7f76cc7612dc142 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | IEEE Access, Vol 8, Pp 220121-220139 (2020) |
| locations[2].landing_page_url | https://doaj.org/article/b2d65dc02bf6498bb7f76cc7612dc142 |
| indexed_in | crossref, doaj |
| authorships[0].author.id | https://openalex.org/A5016309170 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3777-1346 |
| authorships[0].author.display_name | Ricardo Silva Peres |
| authorships[0].countries | PT |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210127031 |
| authorships[0].affiliations[0].raw_affiliation_string | Centre of Technology and Systems, UNINOVA Instituto Desenvolvimento de Novas Tecnologias, Caparica, Portugal |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I141596103, https://openalex.org/I83558840 |
| authorships[0].affiliations[1].raw_affiliation_string | Department of Electrical Engineering, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal |
| authorships[0].institutions[0].id | https://openalex.org/I4210127031 |
| authorships[0].institutions[0].ror | https://ror.org/0373te416 |
| authorships[0].institutions[0].type | nonprofit |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210127031 |
| authorships[0].institutions[0].country_code | PT |
| authorships[0].institutions[0].display_name | Uninova |
| authorships[0].institutions[1].id | https://openalex.org/I83558840 |
| authorships[0].institutions[1].ror | https://ror.org/02xankh89 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I83558840 |
| authorships[0].institutions[1].country_code | PT |
| authorships[0].institutions[1].display_name | Universidade Nova de Lisboa |
| authorships[0].institutions[2].id | https://openalex.org/I141596103 |
| authorships[0].institutions[2].ror | https://ror.org/01c27hj86 |
| authorships[0].institutions[2].type | education |
| authorships[0].institutions[2].lineage | https://openalex.org/I141596103 |
| authorships[0].institutions[2].country_code | PT |
| authorships[0].institutions[2].display_name | University of Lisbon |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ricardo Silva Peres |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Centre of Technology and Systems, UNINOVA Instituto Desenvolvimento de Novas Tecnologias, Caparica, Portugal, Department of Electrical Engineering, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal |
| authorships[1].author.id | https://openalex.org/A5043519647 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-0456-3105 |
| authorships[1].author.display_name | Xiaodong Jia |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I63135867 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA |
| authorships[1].institutions[0].id | https://openalex.org/I63135867 |
| authorships[1].institutions[0].ror | https://ror.org/01e3m7079 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I63135867 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of Cincinnati |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xiaodong Jia |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA |
| authorships[2].author.id | https://openalex.org/A5100686648 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-4022-4274 |
| authorships[2].author.display_name | Jay Lee |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I63135867 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA |
| authorships[2].institutions[0].id | https://openalex.org/I63135867 |
| authorships[2].institutions[0].ror | https://ror.org/01e3m7079 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I63135867 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Cincinnati |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jay Lee |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Mechanical and Materials Engineering, University of Cincinnati, Cincinnati, OH, USA |
| authorships[3].author.id | https://openalex.org/A5055368670 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Keyi Sun |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I318025780 |
| authorships[3].affiliations[0].raw_affiliation_string | Foxconn Industrial Internet, Milwaukee, WI, USA |
| authorships[3].institutions[0].id | https://openalex.org/I318025780 |
| authorships[3].institutions[0].ror | https://ror.org/043xc2b47 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I318025780, https://openalex.org/I4210108919 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Foxconn (United States) |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Keyi Sun |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Foxconn Industrial Internet, Milwaukee, WI, USA |
| authorships[4].author.id | https://openalex.org/A5047609699 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-1431-7589 |
| authorships[4].author.display_name | Armando Walter Colombo |
| authorships[4].countries | DE |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210104665 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Electrotechnical and Industrial Informatics, University of Applied Sciences Emden/Leer, Emden, Germany |
| authorships[4].institutions[0].id | https://openalex.org/I4210104665 |
| authorships[4].institutions[0].ror | https://ror.org/01bc76c69 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210104665 |
| authorships[4].institutions[0].country_code | DE |
| authorships[4].institutions[0].display_name | University of Applied Sciences Emden Leer |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Armando Walter Colombo |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Electrotechnical and Industrial Informatics, University of Applied Sciences Emden/Leer, Emden, Germany |
| authorships[5].author.id | https://openalex.org/A5071443910 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-6348-1847 |
| authorships[5].author.display_name | José Barata |
| authorships[5].countries | PT |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210127031 |
| authorships[5].affiliations[0].raw_affiliation_string | Centre of Technology and Systems, UNINOVA Instituto Desenvolvimento de Novas Tecnologias, Caparica, Portugal |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I141596103, https://openalex.org/I83558840 |
| authorships[5].affiliations[1].raw_affiliation_string | Department of Electrical Engineering, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal |
| authorships[5].institutions[0].id | https://openalex.org/I4210127031 |
| authorships[5].institutions[0].ror | https://ror.org/0373te416 |
| authorships[5].institutions[0].type | nonprofit |
| authorships[5].institutions[0].lineage | https://openalex.org/I4210127031 |
| authorships[5].institutions[0].country_code | PT |
| authorships[5].institutions[0].display_name | Uninova |
| authorships[5].institutions[1].id | https://openalex.org/I83558840 |
| authorships[5].institutions[1].ror | https://ror.org/02xankh89 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I83558840 |
| authorships[5].institutions[1].country_code | PT |
| authorships[5].institutions[1].display_name | Universidade Nova de Lisboa |
| authorships[5].institutions[2].id | https://openalex.org/I141596103 |
| authorships[5].institutions[2].ror | https://ror.org/01c27hj86 |
| authorships[5].institutions[2].type | education |
| authorships[5].institutions[2].lineage | https://openalex.org/I141596103 |
| authorships[5].institutions[2].country_code | PT |
| authorships[5].institutions[2].display_name | University of Lisbon |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Jose Barata |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Centre of Technology and Systems, UNINOVA Instituto Desenvolvimento de Novas Tecnologias, Caparica, Portugal, Department of Electrical Engineering, School of Science and Technology, NOVA University of Lisbon, Caparica, Portugal |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10763 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9976000189781189 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2209 |
| primary_topic.subfield.display_name | Industrial and Manufacturing Engineering |
| primary_topic.display_name | Digital Transformation in Industry |
| related_works | https://openalex.org/W185206218, https://openalex.org/W3108748202, https://openalex.org/W3003666232, https://openalex.org/W2945357379, https://openalex.org/W2981104449, https://openalex.org/W2903493206, https://openalex.org/W2902177743, https://openalex.org/W2785197507, https://openalex.org/W2963246290, https://openalex.org/W3034981309 |
| cited_by_count | 565 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 148 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 178 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 148 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 65 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 26 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1109/access.2020.3042874 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2485537415 |
| best_oa_location.source.issn | 2169-3536 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2169-3536 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | IEEE Access |
| best_oa_location.source.host_organization | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| best_oa_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | IEEE Access |
| best_oa_location.landing_page_url | https://doi.org/10.1109/access.2020.3042874 |
| primary_location.id | doi:10.1109/access.2020.3042874 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2485537415 |
| primary_location.source.issn | 2169-3536 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2169-3536 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | IEEE Access |
| primary_location.source.host_organization | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_name | Institute of Electrical and Electronics Engineers |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319808 |
| primary_location.source.host_organization_lineage_names | Institute of Electrical and Electronics Engineers |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://ieeexplore.ieee.org/ielx7/6287639/6514899/09285283.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | IEEE Access |
| primary_location.landing_page_url | https://doi.org/10.1109/access.2020.3042874 |
| publication_date | 2020-01-01 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2896907231, https://openalex.org/W2908845134, https://openalex.org/W2980464829, https://openalex.org/W2953526560, https://openalex.org/W2972874184, https://openalex.org/W2980749699, https://openalex.org/W2884212008, https://openalex.org/W2917556557, https://openalex.org/W2935927062, https://openalex.org/W2944829616, https://openalex.org/W2967860686, https://openalex.org/W2910722211, https://openalex.org/W2944122571, https://openalex.org/W3011453732, https://openalex.org/W2921247092, https://openalex.org/W3009892828, https://openalex.org/W3010817235, https://openalex.org/W3007934944, https://openalex.org/W6737947904, https://openalex.org/W2939733432, https://openalex.org/W2342249984, https://openalex.org/W6713134421, https://openalex.org/W2325775534, https://openalex.org/W1971634687, https://openalex.org/W2141371357, https://openalex.org/W2792802604, https://openalex.org/W3138798301, https://openalex.org/W2953121811, https://openalex.org/W4255725950, https://openalex.org/W2883297597, https://openalex.org/W2029608738, https://openalex.org/W4241890650, https://openalex.org/W6675354045, https://openalex.org/W2902557953, https://openalex.org/W2884882006, https://openalex.org/W3039972291, https://openalex.org/W2106671991, https://openalex.org/W2890793284, https://openalex.org/W2801289463, https://openalex.org/W2899369349, https://openalex.org/W2911087563, https://openalex.org/W3027659342, https://openalex.org/W2765312595, https://openalex.org/W2155867868, https://openalex.org/W2945002553, https://openalex.org/W2803820765, https://openalex.org/W2104167780, https://openalex.org/W2300921526, https://openalex.org/W3086816133, https://openalex.org/W6775946083, https://openalex.org/W2148143831, https://openalex.org/W2800788706, https://openalex.org/W6734796581, https://openalex.org/W2811256013, https://openalex.org/W1661210704, https://openalex.org/W2294710185, https://openalex.org/W4234816175, https://openalex.org/W6743493502, https://openalex.org/W6776350323, https://openalex.org/W2435473771, https://openalex.org/W2963095307, https://openalex.org/W2077099824, https://openalex.org/W2254884657, https://openalex.org/W2977797911, https://openalex.org/W2004291985, https://openalex.org/W2517281870, https://openalex.org/W2007343074, https://openalex.org/W2138752966, https://openalex.org/W2969736276, https://openalex.org/W6756281437, https://openalex.org/W6717082673, https://openalex.org/W2282821441, https://openalex.org/W2963540401, https://openalex.org/W6755829780, https://openalex.org/W1977907196, https://openalex.org/W3043941844, https://openalex.org/W2102059582, https://openalex.org/W1978157711, https://openalex.org/W2113150105, https://openalex.org/W1981740417, https://openalex.org/W2945228284, https://openalex.org/W1993318811, https://openalex.org/W2961333734, https://openalex.org/W3005870763, https://openalex.org/W2908062660, https://openalex.org/W1991181258, https://openalex.org/W3025475838, https://openalex.org/W6738597727, https://openalex.org/W6745694482, https://openalex.org/W2912069721, https://openalex.org/W2165698076, https://openalex.org/W2953384591, https://openalex.org/W2900319533, https://openalex.org/W4287552728, https://openalex.org/W2768252793, https://openalex.org/W2402144811, https://openalex.org/W2594696703, https://openalex.org/W2101234009, https://openalex.org/W2962862931, https://openalex.org/W2963170156, https://openalex.org/W4210248670, https://openalex.org/W4402843978, https://openalex.org/W2748868501, https://openalex.org/W3013979967, https://openalex.org/W2006940889, https://openalex.org/W3128452405, https://openalex.org/W1882088395, https://openalex.org/W2401334501, https://openalex.org/W2099471712, https://openalex.org/W2396662468, https://openalex.org/W2028499920, https://openalex.org/W2619371851, https://openalex.org/W4289293239, https://openalex.org/W3017343191, https://openalex.org/W4320013936, https://openalex.org/W2420245003, https://openalex.org/W2965374447, https://openalex.org/W2963425170 |
| referenced_works_count | 118 |
| abstract_inverted_index.a | 122, 152, 170, 194, 198, 212, 258 |
| abstract_inverted_index.as | 99, 267, 269 |
| abstract_inverted_index.be | 160 |
| abstract_inverted_index.by | 162, 265 |
| abstract_inverted_index.in | 39, 53, 75, 137, 179, 222 |
| abstract_inverted_index.is | 90, 118, 131, 206 |
| abstract_inverted_index.it | 9 |
| abstract_inverted_index.of | 2, 33, 47, 62, 87, 115, 125, 154, 189, 218 |
| abstract_inverted_index.on | 134 |
| abstract_inverted_index.so | 10 |
| abstract_inverted_index.to | 50, 72, 141, 159, 173, 210, 241, 249 |
| abstract_inverted_index.4.0 | 5, 225, 263 |
| abstract_inverted_index.AI, | 266 |
| abstract_inverted_index.Its | 237 |
| abstract_inverted_index.The | 0, 113 |
| abstract_inverted_index.aim | 114 |
| abstract_inverted_index.and | 17, 30, 70, 79, 104, 147, 157, 182, 200, 215, 228, 234, 243, 246, 254 |
| abstract_inverted_index.are | 14, 110, 166, 239 |
| abstract_inverted_index.but | 21 |
| abstract_inverted_index.for | 107, 257 |
| abstract_inverted_index.gap | 176 |
| abstract_inverted_index.has | 7 |
| abstract_inverted_index.its | 66, 135, 230 |
| abstract_inverted_index.key | 155 |
| abstract_inverted_index.low | 93 |
| abstract_inverted_index.may | 273 |
| abstract_inverted_index.set | 153 |
| abstract_inverted_index.the | 3, 45, 55, 84, 95, 143, 175, 183, 187, 208, 223, 252, 270 |
| abstract_inverted_index.This | 204 |
| abstract_inverted_index.also | 22 |
| abstract_inverted_index.core | 148 |
| abstract_inverted_index.data | 34 |
| abstract_inverted_index.goal | 188 |
| abstract_inverted_index.have | 43 |
| abstract_inverted_index.into | 261 |
| abstract_inverted_index.made | 8 |
| abstract_inverted_index.main | 144 |
| abstract_inverted_index.more | 16, 18, 24 |
| abstract_inverted_index.real | 100, 138 |
| abstract_inverted_index.such | 88 |
| abstract_inverted_index.that | 11, 272 |
| abstract_inverted_index.this | 48, 59, 116, 180, 276 |
| abstract_inverted_index.thus | 119 |
| abstract_inverted_index.view | 217 |
| abstract_inverted_index.well | 268 |
| abstract_inverted_index.with | 26, 58, 169, 186 |
| abstract_inverted_index.Then, | 151 |
| abstract_inverted_index.alike | 248 |
| abstract_inverted_index.along | 168 |
| abstract_inverted_index.among | 207 |
| abstract_inverted_index.arise | 274 |
| abstract_inverted_index.being | 35 |
| abstract_inverted_index.clear | 213 |
| abstract_inverted_index.field | 181 |
| abstract_inverted_index.first | 209 |
| abstract_inverted_index.large | 31 |
| abstract_inverted_index.often | 80 |
| abstract_inverted_index.paper | 117, 205 |
| abstract_inverted_index.pilot | 97 |
| abstract_inverted_index.steps | 255 |
| abstract_inverted_index.still | 91, 111 |
| abstract_inverted_index.which | 108 |
| abstract_inverted_index.First, | 121 |
| abstract_inverted_index.Recent | 37 |
| abstract_inverted_index.advent | 1 |
| abstract_inverted_index.assist | 51, 73, 242 |
| abstract_inverted_index.better | 250 |
| abstract_inverted_index.beyond | 94 |
| abstract_inverted_index.blocks | 233 |
| abstract_inverted_index.bridge | 174 |
| abstract_inverted_index.design | 149 |
| abstract_inverted_index.during | 275 |
| abstract_inverted_index.future | 163 |
| abstract_inverted_index.highly | 76 |
| abstract_inverted_index.review | 124 |
| abstract_inverted_index.stage, | 98 |
| abstract_inverted_index.unique | 103 |
| abstract_inverted_index.between | 177 |
| abstract_inverted_index.current | 126 |
| abstract_inverted_index.digital | 60 |
| abstract_inverted_index.efforts | 165 |
| abstract_inverted_index.empower | 244 |
| abstract_inverted_index.ongoing | 235 |
| abstract_inverted_index.provide | 102, 211 |
| abstract_inverted_index.through | 65, 193 |
| abstract_inverted_index.towards | 197 |
| abstract_inverted_index.trends. | 236 |
| abstract_inverted_index.volumes | 32 |
| abstract_inverted_index.However, | 83 |
| abstract_inverted_index.Industry | 4, 224, 262 |
| abstract_inverted_index.Systems, | 64 |
| abstract_inverted_index.adoption | 86, 192 |
| abstract_inverted_index.advances | 38 |
| abstract_inverted_index.becoming | 15 |
| abstract_inverted_index.building | 232 |
| abstract_inverted_index.capacity | 71 |
| abstract_inverted_index.complex, | 25, 77 |
| abstract_inverted_index.culture. | 203 |
| abstract_inverted_index.dynamic, | 19 |
| abstract_inverted_index.enabling | 145 |
| abstract_inverted_index.expected | 240 |
| abstract_inverted_index.findings | 238 |
| abstract_inverted_index.focusing | 133 |
| abstract_inverted_index.holistic | 216 |
| abstract_inverted_index.identify | 142 |
| abstract_inverted_index.process. | 277 |
| abstract_inverted_index.research | 164, 178 |
| abstract_inverted_index.tackling | 54 |
| abstract_inverted_index.addressed | 161 |
| abstract_inverted_index.analysing | 229 |
| abstract_inverted_index.analytics | 69 |
| abstract_inverted_index.connected | 20 |
| abstract_inverted_index.difficult | 105 |
| abstract_inverted_index.digitized | 199 |
| abstract_inverted_index.framework | 172 |
| abstract_inverted_index.industry, | 185 |
| abstract_inverted_index.necessary | 256 |
| abstract_inverted_index.potential | 46 |
| abstract_inverted_index.promoting | 190 |
| abstract_inverted_index.showcased | 44 |
| abstract_inverted_index.solutions | 89 |
| abstract_inverted_index.supported | 264 |
| abstract_inverted_index.two-fold. | 120 |
| abstract_inverted_index.Artificial | 41, 128, 220 |
| abstract_inverted_index.Industrial | 40, 127, 219 |
| abstract_inverted_index.additional | 27 |
| abstract_inverted_index.associated | 57 |
| abstract_inverted_index.challenges | 56, 106, 156, 271 |
| abstract_inverted_index.conceptual | 171 |
| abstract_inverted_index.definition | 214 |
| abstract_inverted_index.formulated | 167 |
| abstract_inverted_index.generated. | 36 |
| abstract_inverted_index.industrial | 85, 191 |
| abstract_inverted_index.inherently | 23 |
| abstract_inverted_index.initiative | 6 |
| abstract_inverted_index.landscape, | 226 |
| abstract_inverted_index.literature | 130 |
| abstract_inverted_index.multistage | 81 |
| abstract_inverted_index.non-linear | 78 |
| abstract_inverted_index.predictive | 68 |
| abstract_inverted_index.presented, | 132 |
| abstract_inverted_index.relatively | 92 |
| abstract_inverted_index.successful | 195, 259 |
| abstract_inverted_index.systematic | 123 |
| abstract_inverted_index.technology | 49 |
| abstract_inverted_index.transition | 196, 260 |
| abstract_inverted_index.understand | 251 |
| abstract_inverted_index.application | 136 |
| abstract_inverted_index.data-driven | 67, 201 |
| abstract_inverted_index.fundamental | 231 |
| abstract_inverted_index.identifying | 227 |
| abstract_inverted_index.principles. | 150 |
| abstract_inverted_index.researchers | 245 |
| abstract_inverted_index.unprepared. | 112 |
| abstract_inverted_index.Intelligence | 42, 129, 221 |
| abstract_inverted_index.company-wide | 202 |
| abstract_inverted_index.environments | 13, 101, 140 |
| abstract_inverted_index.experimental | 96 |
| abstract_inverted_index.requirements | 253 |
| abstract_inverted_index.technologies | 146 |
| abstract_inverted_index.environments. | 82 |
| abstract_inverted_index.manufacturers | 52, 247 |
| abstract_inverted_index.manufacturing | 12, 139, 184 |
| abstract_inverted_index.opportunities | 158 |
| abstract_inverted_index.organizations | 109 |
| abstract_inverted_index.uncertainties | 29 |
| abstract_inverted_index.Cyber-Physical | 63 |
| abstract_inverted_index.transformation | 61 |
| abstract_inverted_index.decision-making | 74 |
| abstract_inverted_index.inter-dependencies, | 28 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.99859712 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |