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Cloud manufacturing: key characteristics and applications

Ren, Lei, Zhang, Lin, Wang, Lihui, Tao, Fei, Chai, Xudong·2017·International Journal of Computer Integrated Manufacturing

Abstract

Cloud manufacturing is emerging as a new manufacturing paradigm as well as an integrated technology, which is promising in transforming today’s manufacturing industry towards service-oriented, highly collaborative and innovative manufacturing in the future. In order to better understand cloud manufacturing, this paper provides a critical review of relevant concepts and ideas in cloud computing as well as advanced manufacturing technologies that contribute to the evolution of cloud manufacturing. The key characteristics of cloud manufacturing are also presented in order to clarify the cloud manufacturing concept. Furthermore, a four-process structure is proposed to describe the typical scenario in cloud manufacturing, hoping to provide a theoretical reference for practical applications. Finally, an application case of a private cloud manufacturing system for a conglomerate is presented.

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Metadata

Authors
Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X.
Venue
International Journal of Computer Integrated Manufacturing
Published
2014-04-04
Volume
30
Issue
6
Pages
501-515
ISSN
  • 0951-192X (ISSN-L)
  • 1362-3052
OpenAlex
W2086281524
Cited by
338
References
0
FWCI
37.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cloud manufacturing: key characteristics and applications. https://app.cochat.ai/papers/10.1080/0951192x.2014.902105
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Ren, L., Zhang, L., Wang, L., Tao, F., & Chai, X. (2017). Cloud manufacturing: key characteristics and applications. International Journal of Computer Integrated Manufacturing. https://doi.org/10.1080/0951192x.2014.902105

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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.