liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A cloud service platform integrating additive and subtractive manufacturing with high resource efficiency
Northwestern Polytech Univ, Peoples R China; Southern Univ Sci and Technol, Peoples R China.
Northwestern Polytech Univ, Peoples R China.
Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
Northwestern Polytech Univ, Peoples R China.
2019 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 241, article id UNSP 118379Article in journal (Refereed) Published
Abstract [en]

Cloud manufacturing has been studied for years, yet commercial implementations are still limited. The recent advances in information technology have stimulated the free sharing of additive and subtractive manufacturing (A/SM) resources through cloud services. Currently, due to the lack of a general method to model manufacturing capabilities, as well as the absence of an open platform to integrate business and manufacturing processes, it is difficult to integrate A/SM resources within one platform efficiently and seamlessly. In this research, a service encapsulation model for A/SM resources was described using ontology modeling technique. A collaborative cloud platform integrating A/SM was designed that can provide optimal production plans considering time, cost, quality, and energy waste during manufacturing. The proposed platform and models were demonstrated by a prototype system and tested in a case study, which showed the integrated platform can increase the utilization rate of resources while reducing energy consumption. This research has provided a practical tool for virtualization, integration, and configuration of A/SM resource with high efficiency. (C) 2019 Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2019. Vol. 241, article id UNSP 118379
Keywords [en]
Cloud manufacturing; Additive manufacturing; Subtractive manufacturing; Resource efficiency
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:liu:diva-161368DOI: 10.1016/j.jclepro.2019.118379ISI: 000489275900097OAI: oai:DiVA.org:liu-161368DiVA, id: diva2:1367571
Note

Funding Agencies|National Natural Science Foundation of ChinaNational Natural Science Foundation of China [51675441]; Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University, China [Z2017014]; 111 Project Grant of Northwestern Polytechnical University [B13044]

Available from: 2019-11-04 Created: 2019-11-04 Last updated: 2019-11-04

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Search in DiVA

By author/editor
Liu, Yang
By organisation
Environmental Technology and ManagementFaculty of Science & Engineering
In the same journal
Journal of Cleaner Production
Production Engineering, Human Work Science and Ergonomics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 15 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf