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Cloud Manufacturing – A Critical Review of Recent Development and Future Trends
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2017 (English)In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 30, no 4-5, p. 347-380Article in journal (Refereed) Published
Abstract [en]

There is an ongoing paradigm shift in manufacturing, in which the modern manufacturing industry is changing towards global manufacturing networks and supply chains. This will lead to the flexible usage of different globally distributed, scalable and sustainable, service-oriented manufacturing systems and resources. Combining recently emerged technologies, such as Internet of Things, Cloud Computing, Semantic Web, service-oriented technologies, virtualisation and advanced high-performance computing technologies, with advanced manufacturing models and information technologies, Cloud Manufacturing is a new manufacturing paradigm built on resource sharing, supporting and driving this change. It is envisioned that companies in all sectors of manufacturing will be able to package their resources and know-hows in the Cloud, making them conveniently available for others through pay-as-you-go, which is also timely and economically attractive. Resources, e.g. manufacturing software tools, applications, knowledge and fabrication capabilities and equipment, will then be made accessible to presumptive consumers on a worldwide basis. Cloud Manufacturing has been in focus for a great deal of research interest and suggested applications during recent years, by both industrial and academic communities. After surveying a vast array of available publications, this paper presents an up-to-date literature review together with identified outstanding research issues, and future trends and directions within Cloud Manufacturing.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2017. Vol. 30, no 4-5, p. 347-380
Keywords [en]
cloud manufacturing; resource sharing; service-orientation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-205777DOI: 10.1080/0951192X.2015.1031704ISI: 000396794500002Scopus ID: 2-s2.0-84927720769OAI: oai:DiVA.org:kth-205777DiVA, id: diva2:1090300
Funder
XPRES - Initiative for excellence in production research
Note

QC 20170426

Available from: 2017-04-24 Created: 2017-04-24 Last updated: 2017-05-03Bibliographically approved

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Wang, Lihui

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