The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Literature review on the ‘Smart Factory’ concept using bibliometric tools
Open accessAbstract
The objective of this paper is to depict a landscape of the scientific literature on the concept of the ‘Smart Factory’, which in recent years is gaining more and more attention from academics and practitioners because of significant innovations in the production systems within the manufacturing sector. To achieve this objective, a dynamic methodology called ‘Systematic Literature Network Analysis (SLNA)’ has been applied. This methodology combines the Systematic Literature Review approach with the analysis of bibliographic networks. The adopted methodology allows complementing traditional content-based literature reviews by extracting quantitative information from bibliographic networks to detect emerging topics, and by revealing the dynamic evolution of the scientific production of a discipline. This dynamic analysis allowed highlighting research directions and critical areas for the development of the ‘Smart Factory’. At the same time, it offers insights on the fields on which companies, associations, politicians and technology providers need to focus in order to allow a real transition towards the implementation of large-scale Smart Factory.
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Citations
Cites
Software survey: VOSviewer, a computer program for bibliometric mapping
van Eck, N. J., & Waltman, L. (2010) · Scientometrics · doi:10.1007/s11192-009-0146-3 · Cited by 21,484
The Computer for the 21st Century
Weiser, M. (1991) · Scientific American · doi:10.1038/scientificamerican0991-94 · Cited by 10,017
How to normalize cooccurrence data? An analysis of some well‐known similarity measures
Eck, N. J. V., & Waltman, L. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21075 · Cited by 966
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Self-citation
Cited by
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Ivanov, D., Dolgui, A., & Sokolov, B. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1488086 · Cited by 2,055
Internet of things and supply chain management: A literature review
Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019) · International Journal of Production Research · doi:10.1080/00207543.2017.1402140 · Cited by 1,501
Smart manufacturing: Characteristics, technologies and enabling factors
Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019) · Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture · doi:10.1177/0954405417736547 · Cited by 560
Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.004 · Cited by 527
Metadata
- Authors
- Strozzi, F., Colicchia, C., Creazza, A., & Noè, C.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2017-05-10
- Volume
- 55
- Issue
- 22
- Pages
- 6572-6591
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W2612083024
- Cited by
- 510
- References
- 4
- FWCI
- 34.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Strozzi, F., Colicchia, C., Creazza, A., & Noè, C. (2017). Literature review on the ‘Smart Factory’ concept using bibliometric tools. International Journal of Production Research. https://doi.org/10.1080/00207543.2017.1326643
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.