The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
Open accessAbstract
Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and ...
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Citations
Cites
Internet of Things in industries: A survey
Xu, L. D., He, W., & Li, S. (2014) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2014.2300753 · Cited by 5,172
Beyond the hype: Big data concepts, methods, and analytics
Gandomi, A., & Haider, M. (2015) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2014.10.007 · Cited by 4,226
Digital 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
How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study
Fosso Wamba, S., Akter, S., Edwards, A., Chopin, G., & Gnanzou, D. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.031 · Cited by 1,905
Lei, Y., Jia, F., Lin, J., Xing, S., & Ding, S. X. (2016) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2016.2519325 · Cited by 1,191
Recent advances and trends in predictive manufacturing systems in big data environment
Lee, J., Lapira, E., Bagheri, B., & Kao, H.-A. (2013) · Manufacturing Letters · doi:10.1016/j.mfglet.2013.09.005 · Cited by 1,090
Conducting a literature review
Rowley, J., & Slack, F. (2004) · Management Research News · doi:10.1108/01409170410784185 · Cited by 885
Big data driven smart energy management: from big data to big insights
Zhou, K., Fu, C., & Yang, S. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.11.050 · Cited by 841
Babiceanu, R. F., & Seker, R. (2016) · Computers in Industry · doi:10.1016/j.compind.2016.02.004 · Cited by 461 · cited 1×
“In the context of industrial big data, the problems of modeling and virtualization for CPS were discussed by (Babiceanu and Seker, 2016).”
BackgroundTutorial: Big Data Analytics: Concepts, Technologies, and Applications
Watson, H. J. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03465 · Cited by 340
Cited by
Challenges, Opportunities and Future Directions of Smart Manufacturing: A State of Art Review
Phuyal, S., Bista, D., & Bista, R. (2020) · Sustainable Futures · doi:10.1016/j.sftr.2020.100023 · Cited by 396
Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.03.181 · Cited by 381
Wan, J., Li, X., Dai, H.-N., Kusiak, A., Martinez-Garcia, M., & Li, D. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2020.3034808 · Cited by 382
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Wang, B., Zheng, P., Yin, Y., Shih, A., & Wang, L. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.05.005 · Cited by 365
Digital twin in smart manufacturing
Li, L., Lei, B., & Mao, C. (2022) · Journal of Industrial Information Integration · doi:10.1016/j.jii.2021.100289 · Cited by 357
Metadata
- Authors
- Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D., & Almeida, C. M. V. B.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 210
- Pages
- 1343-1365
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2899614238
- Cited by
- 525
- References
- 17
- FWCI
- 38.42
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions. https://app.cochat.ai/papers/10.1016/j.jclepro.2018.11.025
- The paper
- Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D., & Almeida, C. M. V. B. (2019). A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.11.025
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.
