The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Digital twin-based smart production management and control framework for the complex product assembly shop-floor
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
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · cited 5×
“In 2011, in the book “ Virtually perfect: driving innovative and lean products through product lifecycle management ” [23], Grieves quoted his co-author Vickers ’ s way of describing this model — digital twin — and this comes to be in use today [24].”
BackgroundMethodInfluentialDigital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
Chen, M., Mao, S., & Liu, Y. (2014) · Mobile Networks and Applications · doi:10.1007/s11036-013-0489-0 · Cited by 2,913
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474 · cited 1×
“From this point of view, the twin was referred to as a prototype that mirrored the real operating condition for the simulation of real-time behavior [19].”
BackgroundDigital twin shop-floor: a new shop-floor paradigm towards smart manufacturing
Tao, F., & Zhang, M. (2017) · IEEE Access · doi:10.1109/access.2017.2756069 · Cited by 1,397
Reengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119
Product lifecycle management: the new paradigm for enterprises
Grieves, M. W. (2005) · International Journal of Product Development · doi:10.1504/ijpd.2005.006669 · Cited by 741
Building digital twins of 3D printing machines
DebRoy, T., Zhang, W., Turner, J., & Babu, S. S. (2017) · Scripta Materialia · doi:10.1016/j.scriptamat.2016.12.005 · Cited by 259 · cited 1×
“DebRoy et al. [33] proposed a method to construct the first-generation digital twins of 3D printing machines.”
MethodThe Airframe Digital Twin: Some Challenges to Realization
Tuegel, E. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1812 · Cited by 255 · cited 1×
“In 2012, the concept of “airframe digital twin” was proposed aiming to reduce the maintenance cost of the airframe [28].”
Background
Cited by
Characterising the Digital Twin: A systematic literature review
Jones, D., Snider, C., Nassehi, A., Yon, J., & Hicks, B. (2020) · CIRP Journal of Manufacturing Science and Technology · doi:10.1016/j.cirpj.2020.02.002 · Cited by 2,422
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700
Triboelectric nanogenerator sensors for soft robotics aiming at digital twin applications
Jin, T., Sun, Z., Li, L., Zhang, Q., Zhu, M., Zhang, Z., Yuan, G., Chen, T., Tian, Y., Hou, X., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19059-3 · Cited by 695
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616
The modelling and operations for the digital twin in the context of manufacturing
Bao, J., Guo, D., Li, J., & Zhang, J. (2019) · Enterprise Information Systems · doi:10.1080/17517575.2018.1526324 · Cited by 347
Metadata
- Authors
- Zhuang, C., Liu, J., & Xiong, H.
- Venue
- The International Journal of Advanced Manufacturing Technology
- Published
- 2018-02-07
- Volume
- 96
- Issue
- 1-4
- Pages
- 1149-1163
- ISSN
- 0268-3768 (ISSN-L)
- 1433-3015
- OpenAlex
- W2786100634
- Cited by
- 693
- References
- 9
- FWCI
- 46.31
- Type
- journal article
- Language
- en
- Open access
- closed
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: Digital twin-based smart production management and control framework for the complex product assembly shop-floor. https://app.cochat.ai/papers/10.1007/s00170-018-1617-6
- The paper
- Zhuang, C., Liu, J., & Xiong, H. (2018). Digital twin-based smart production management and control framework for the complex product assembly shop-floor. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-018-1617-6
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.
