The DOI matches its Crossref record; 46 of the 48 references it cites were found in a registry or an index.
Reference architectures for smart manufacturing: A critical review
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Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It has evolved from its initial two-layer form [88] to its current version by dividing ICS into the Edge, Plant and Enterprise layer, providing an informal detailed overview with an emphasis on communication channels between individual elements as well as between layers.”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [88]
In the citing paper
“This approach puts the presented SCADA system in the perspective of a service-oriented smart manufacturing architecture that introduces new computational patterns with on-demand services as the main enabler of value network integration and collaboration, that is conceptually aligned with emerging reference architectures such as RAMI4.0,IIRA, IBM Industry 4.0, and NIST Smart Manufacturing.”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [88]
Citations
Cites
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · IEEE International Symposium on Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,638
Industry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,931
From cloud computing to cloud manufacturing
Xu, X. W. (2011) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2011.07.002 · Cited by 1,806
Cyber-physical systems in manufacturing
Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S. R. T., Reinhart, G., Sauer, O., Schuh, G., Sihn, W., & Ueda, K. (2016) · CIRP Annals · doi:10.1016/j.cirp.2016.06.005 · Cited by 1,708
Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014) · RWTH Publications (RWTH Aachen) · doi:10.5281/zenodo.1336426 · Cited by 1,362
Cyber-physical Production Systems: Roots, Expectations and R&D Challenges
Monostori, L. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.03.115 · Cited by 1,281
Current status and advancement of cyber-physical systems in manufacturing
Wang, L., Törngren, M., & Onori, M. (2015) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2015.04.008 · Cited by 948
Theory Building through Conceptual Methods
Meredith, J. (1993) · International Journal of Operations & Production Management · doi:10.1108/01443579310028120 · Cited by 783
Reference Model for Service Oriented Architecture 1.0
MacKenzie, C. M., Laskey, K., McCabe, F. G., Brown, P. F., & Metz, R. (2006) · Cited by 761
Joint Cognitive Systems: Foundations of Cognitive Systems Engineering
Hollnagel, E., & Woods, D. D. (2005) · Thammasat University Digital Collections · Cited by 732
Research works printed but not linked: 2
- Li, 2010, Cloud manufacturing: a new service-oriented manufacturing model, Comput Integr Manuf Syst, 16, 1
- IEEE, 2413 - Standard for an Architectural Framework for the Internet of Things (IoT), IEEE Standards Association.
Cited by
Sorted by citations
Smart Manufacturing and Intelligent Manufacturing: A Comparative Review
Wang, B., Tao, F., Fang, X., Liu, C., Liu, Y., & Freiheit, T. I. (2020) · Engineering · doi:10.1016/j.eng.2020.07.017 · Cited by 571
Pivoto, D. G. S., de Almeida, L. F. R., Righi, R. D. R., Rodrigues, J., Lugli, A. B., & Alberti, A. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.017 · Cited by 399
Xia, K., Sacco, C., Kirkpatrick, M. B., Saidy, C., Nguyen, L., Kircaliali, A., & Harik, R. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.012 · Cited by 444
Industry 4.0 smart reconfigurable manufacturing machines
Morgan, J., Halton, M., Qiao, Y., & Breslin, J. G. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2021.03.001 · Cited by 336
Liu, Q., Leng, J., Yan, D., Zhang, D., Wei, L., Yu, A., Zhao, R., Zhang, H., & Chen, X. (2020) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.04.012 · Cited by 315
Metadata
- Authors
- Moghaddam, M., Cadavid, M. N., Kenley, C. R., & Deshmukh, A. V.
- Affiliations
- Northeastern University (US)
- Purdue University West Lafayette (US)
- Corresponding author
- Moghaddam, Mohsen
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 49
- Pages
- 215-225
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W2901894327
- Cited by
- 219
- References
- 48
- Citations by year
- 2026: 19 · 2025: 13 · 2024: 33 · 2023: 35 · 2022: 30 · 2021: 46 · 2020: 24 · 2019: 19
- FWCI
- 18.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Manufacturing Systems (acceptedVersion)
- Funders
- National Institute of Standards and Technology
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Collaboration in agile enterprises
- Keywords
- smart manufacturing, reference architecture, Industry 4.0, cyber-physical production systems, cloud manufacturing, social manufacturing, service orientation, microservices, Internet of Things, human-machine interaction, smart objects, manufacturing paradigms
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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.
Statistics and arithmetic are recomputed, not judged.
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