Standards for smart manufacturing: A review

Yuqian Lu; Huiyue Huang; Chao Liu; Xun Xu

doi:10.1109/COASE.2019.8842989

Standards for smart manufacturing: A review

Yuqian Lu, Huiyue Huang, Chao Liu, Xun Xu

Mechanical, Biomedical & Design Engineering

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and collaboration. Standardization is a crucial enabler for achieving the required intelligence for smart manufacturing. Though a large number of efforts have been made to the development of manufacturing standards, there is still a significant research gap to be fulfilled. This paper reviews the landscape of existing standards in the context of smart manufacturing and offers guidance on the selection of the standards for different smart manufacturing applications.

Original language	English
Title of host publication	2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019
Publisher	IEEE
Pages	73-78
Number of pages	6
ISBN (Electronic)	9781728103556
DOIs	https://doi.org/10.1109/COASE.2019.8842989
Publication status	Published - 19 Sep 2019
Event	15th IEEE International Conference on Automation Science and Engineering, CASE 2019 - Vancouver, Canada Duration: 22 Aug 2019 → 26 Aug 2019

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2019-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	15th IEEE International Conference on Automation Science and Engineering, CASE 2019
Country/Territory	Canada
City	Vancouver
Period	22/08/19 → 26/08/19

Bibliographical note

Funding Information:
*Research supported by China Scholarship Council.

Access to Document

10.1109/COASE.2019.8842989

Cite this

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title = "Standards for smart manufacturing: A review",

abstract = "Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and collaboration. Standardization is a crucial enabler for achieving the required intelligence for smart manufacturing. Though a large number of efforts have been made to the development of manufacturing standards, there is still a significant research gap to be fulfilled. This paper reviews the landscape of existing standards in the context of smart manufacturing and offers guidance on the selection of the standards for different smart manufacturing applications.",

author = "Yuqian Lu and Huiyue Huang and Chao Liu and Xun Xu",

note = "Funding Information: *Research supported by China Scholarship Council. ; 15th IEEE International Conference on Automation Science and Engineering, CASE 2019 ; Conference date: 22-08-2019 Through 26-08-2019",

year = "2019",

month = sep,

day = "19",

doi = "10.1109/COASE.2019.8842989",

language = "English",

series = "IEEE International Conference on Automation Science and Engineering",

publisher = "IEEE",

pages = "73--78",

booktitle = "2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019",

address = "United States",

}

Lu, Y, Huang, H, Liu, C & Xu, X 2019, Standards for smart manufacturing: A review. in 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019., 8842989, IEEE International Conference on Automation Science and Engineering, vol. 2019-August, IEEE, pp. 73-78, 15th IEEE International Conference on Automation Science and Engineering, CASE 2019, Vancouver, Canada, 22/08/19. https://doi.org/10.1109/COASE.2019.8842989

Standards for smart manufacturing : A review. / Lu, Yuqian; Huang, Huiyue; Liu, Chao et al.

2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE, 2019. p. 73-78 8842989 (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Liu, Chao

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N2 - Manufacturing is becoming smart with capabilities of self-awareness, autonomous decision-making, and adaptive excitation and collaboration. Standardization is a crucial enabler for achieving the required intelligence for smart manufacturing. Though a large number of efforts have been made to the development of manufacturing standards, there is still a significant research gap to be fulfilled. This paper reviews the landscape of existing standards in the context of smart manufacturing and offers guidance on the selection of the standards for different smart manufacturing applications.

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Standards for smart manufacturing: A review

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