Industrial artificial intelligence for industry 4.0-based manufacturing systems
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There is a trend of applying artificial intelligence methods and tools to prescriptive analytics.
“Further, there is a trend of applying artificial intelligence methods and tools to prescriptive analytics (Lee, Davari, Singh, & Pandhare, 2018).”
From Prescriptive analytics: Literature review and research challenges (2020) · cites this paper as Lee, Davari, Singh, & Pandhare, 2018
Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172 · see citing works
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Wamba-Taguimdje, S.-L., Fosso Wamba, S., Kala Kamdjoug, J. R., & Tchatchouang Wanko, C. E. (2020) · Business Process Management Journal · doi:10.1108/bpmj-10-2019-0411 · Cited by 1,280 · see citing works
Ahmad, T., Madonski, R., Zhang, D., Huang, C., & Mujeeb, A. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2022.112128 · Cited by 711 · see citing works
Prescriptive analytics: Literature review and research challenges
Lepenioti, K., Bousdekis, A., Apostolou, D., & Mentzas, G. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.04.003 · Cited by 501 · see citing works
“Further, there is a trend of applying artificial intelligence methods and tools to prescriptive analytics (Lee, Davari, Singh, & Pandhare, 2018).”
Algorithmic bias in data-driven innovation in the age of AI
Akter, S., McCarthy, G., Sajib, S., Michael, K., Dwivedi, Y. K., D’Ambra, J., & Shen, K. N. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102387 · Cited by 440 · see citing works
Artificial intelligence, cyber-threats and industry 4.0: challenges and opportunities
Bécue, A., Praça, I., & Gama, J. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-020-09942-2 · Cited by 368 · see citing works
Kinkel, S., Baumgartner, M., & Cherubini, E. (2022) · Technovation · doi:10.1016/j.technovation.2021.102375 · Cited by 316 · see citing works
Emerging Enabling Technologies for Industry 4.0 and Beyond
Sigov, A., Ratkin, L., Ivanov, L. A., & Xu, L. D. (2024) · Information Systems Frontiers · doi:10.1007/s10796-021-10213-w · Cited by 234 · see citing works
Eling, M., Nuessle, D., & Staubli, J. (2022) · The Geneva Papers on Risk and Insurance Issues and Practice · doi:10.1057/s41288-020-00201-7 · Cited by 156 · see citing works
Educing AI-thinking in science, technology, engineering, arts, and mathematics (STEAM) education
How, M.-L., & Hung, W. L. D. (2019) · Education Sciences · doi:10.3390/educsci9030184 · Cited by 135 · see citing works
Santana, M., & Díaz-Fernández, M. (2023) · Review of Managerial Science · doi:10.1007/s11846-022-00613-w · Cited by 105 · see citing works
Alnamrouti, A., Rjoub, H., & Ozgit, H. (2022) · Sustainability · doi:10.3390/su14127327 · Cited by 62 · see citing works
He, H., Gray, J., Cangelosi, A., Meng, Q., McGinnity, T. M., & Mehnen, J. (2020) · 2020 3rd International Conference on Intelligent Robotic and Control Engineering (IRCE) · doi:10.1109/irce50905.2020.9199244 · Cited by 43 · see citing works
A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial Settings
Benedick, P.-L., Robert, J., & Le Traon, Y. (2021) · Sensors · doi:10.3390/s21186195 · Cited by 12 · see citing works
- Authors
- Lee, J., Davari, H., Singh, J., & Pandhare, V.
- Affiliations
- University of Cincinnati (US)
- Corresponding author
- Singh, Jaskaran
- Venue
- Manufacturing Letters
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 18
- Pages
- 20-23
- ISSN
- 2213-8463 (ISSN-L)
- OpenAlex
- W2890793284
- Cited by
- 870
- References
- 1
- Citations by year
- 2026: 88 · 2025: 120 · 2024: 121 · 2023: 159 · 2022: 115 · 2021: 137 · 2020: 95 · 2019: 32 · 2018: 2 · 2015: 1
- FWCI
- 55.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Manufacturing Letters (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, Industry 4.0, manufacturing systems, AI ecosystem, industrial AI
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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