The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Smart manufacturing based on cyber-physical systems and beyond
Open accessAbstract
Cyber-physical systems (CPS) have gained an increasing attention recently for their immense potential towards the next generation smart systems that integrate cyber technology into the physical processes. However, CPS did not initiate either smart factories or smart manufacturing, and vice versa. Historically, the smart factory was initially studied with the introduction of the Internet of Things (IoT) in manufacturing, and later became a key part of Industry 4.0. Also emerging are other related models such as cloud manufacturing, social manufacturing and proactive manufacturing with the introduction of cloud computing (broadly, the Internet of Services, IoS), social networking (broadly, the Internet of People, IoP) and big data (broadly, the Internet of Content and Knowledge, IoCK), respectively. At present, there is a lack of a systemic and comprehensive study on the linkages and relations between these terms. Therefore, this study first presents a comprehensive survey and analysis of the CPS treated as a combination of the IoT and the IoS. Then, the paper addresses CPS-based smart manufacturing as an eight tuple of CPS,IoT, IoS and IoCK as elements. Further, the paper extends the eight-tuple CPS-based manufacturing to social-CPS (SCPS)-based manufacturing, termed wisdom manufacturing, which forms a nine tuple with the addition of one more element, the IoP and which is based on the SCPS instead of CPS. Both architectures and characteristics for smart and wisdom manufacturing are addressed. As such, these terms’ linkages are established and relations are clarified with a special discussion. This study thus contributes as a theoretical basis and as a comprehensive framework for emerging manufacturing integration.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation
Nonaka, I., & Takeuchi, H. (1995) · doi:10.1093/oso/9780195092691.001.0001 · Cited by 18,010
The Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
The Knowledge-creating company: How Japanese companies create the dynamics of innovation
(1997) · Research Policy · doi:10.1016/s0048-7333(97)80234-x · Cited by 13,156
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
Lee, J., Bagheri, B., & Kao, H.-A. (2015) · Manufacturing Letters · doi:10.1016/j.mfglet.2014.12.001 · Cited by 5,113
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276 · cited 1×
“1, the smart factory has become a key component of Industry 4.0 (Lasi et al. 2014).”
BackgroundInfluentialCyber Physical Systems: Design Challenges
Lee, E. A. (2008) · 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,525
The rise of big data on cloud computing: Review and open research issues
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015) · Information Systems · doi:10.1016/j.is.2014.07.006 · Cited by 2,656
Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
Lee, J., Kao, H.-A., & Yang, S. (2014) · Procedia CIRP · doi:10.1016/j.procir.2014.02.001 · Cited by 1,965
Responsible research and innovation: From science in society to science for society, with society
Owen, R., Macnaghten, P., & Stilgoe, J. (2012) · Science and Public Policy · doi:10.1093/scipol/scs093 · Cited by 1,607
Poetz, M. K., & Schreier, M. (2012) · Journal of Product Innovation Management · doi:10.1111/j.1540-5885.2011.00893.x · Cited by 1,244
Metadata
- Authors
- Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y.
- Venue
- Journal of Intelligent Manufacturing
- Published
- 2017-12-28
- Volume
- 30
- Issue
- 8
- Pages
- 2805-2817
- ISSN
- 0956-5515 (ISSN-L)
- 1572-8145
- OpenAlex
- W2775835322
- Cited by
- 283
- References
- 44
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Smart manufacturing based on cyber-physical systems and beyond. https://app.cochat.ai/papers/10.1007/s10845-017-1384-5
- The paper
- Yao, X., Zhou, J., Lin, Y., Li, Y., Yu, H., & Liu, Y. (2019). Smart manufacturing based on cyber-physical systems and beyond. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-017-1384-5
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.