Digital twin-based sustainable intelligent manufacturing: a review
Advances in Manufacturing, ISSN: 2195-3597, Vol: 9, Issue: 1, Page: 1-21
2021
- 432Citations
- 899Captures
- 2Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations432
- Citation Indexes432
- 432
- CrossRef123
- Captures899
- Readers899
- 899
- Mentions2
- Blog Mentions1
- 1
- News Mentions1
- 1
Most Recent Blog
Why manufacturers should use digital twins for sustainability not just productivity
(Credit: Unsplash) This article is brought to you thanks to the collaboration of The European Sting with the World Economic Forum./ Author: Isabella Kaplan, Centre Coordinator, Advanced Manufacturing and
Most Recent News
Why manufacturers should use digital twins for sustainability not just productivity
BMW uses a digital twin to allow international collaboration between its factories. Image: REUTERS/Leonhard Foeger Listen to the article Digital twins – virtual representations of real-world
Article Description
As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85083639816&origin=inward; http://dx.doi.org/10.1007/s40436-020-00302-5; https://link.springer.com/10.1007/s40436-020-00302-5; https://dx.doi.org/10.1007/s40436-020-00302-5; https://link.springer.com/article/10.1007/s40436-020-00302-5; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6942051&internal_id=6942051&from=elsevier
Springer Science and Business Media LLC
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