The selection of Industry 4.0 technologies through bayesian networks : an operational perspective
| Year of publication: |
2024
|
|---|---|
| Authors: | De Giovanni, Pietro ; Belvedere, Valeria ; Grando, Alberto |
| Published in: |
IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society. - New York, NY : IEEE, ISSN 1558-0040, ZDB-ID 2021741-9. - Vol. 71.2024, p. 2921-2936
|
| Subject: | Bayesian networks | Industry 4.0 technologies | machine learning | operational performance | portfolio of technologies | Bayes-Statistik | Bayesian inference | Künstliche Intelligenz | Artificial intelligence | Technischer Fortschritt | Technological change | Technologietransfer | Technology transfer |
-
How social media effects shape sentiments along the twitter journey? : a Bayesian network approach
Airani, Rajeev, (2022)
-
A psychological approach to learning causal networks
Zargoush, Manaf, (2014)
-
The Fourth Industrial Revolution in the developing nations : challenges and road map
Asghar, Sohail, (2020)
- More ...
-
Reflective vs. formative measurement models in operations and supply chain research
De Giovanni, Pietro, (2025)
-
The modern meaning of "quality" : analysis, evolution and strategies
De Giovanni, Pietro, (2024)
-
Blockchain technology applications in businesses and organizations
De Giovanni, Pietro, (2022)
- More ...