Next generation smart manufacturing and service systems using big data analytics

Shukla, N; Tiwari, MK; Beydoun, G

Next generation smart manufacturing and service systems using big data analytics

Shukla, N Tiwari, MK Beydoun, G

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Publication Type:: Journal Article
Citation:: Computers and Industrial Engineering, 2019, 128 pp. 905 - 910
Issue Date:: 2019-02-01

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Field	Value	Language
dc.contributor.author	Shukla, N	en_US
dc.contributor.author	Tiwari, MK	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.date.issued	2019-02-01	en_US
dc.identifier.citation	Computers and Industrial Engineering, 2019, 128 pp. 905 - 910	en_US
dc.identifier.issn	0360-8352	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129334
dc.description.abstract	© 2018 Elsevier Ltd This special issue explores advancements in the next generation manufacturing and service systems by examining the novel methods, practical challenges and opportunities in the use of big data analytics. The selected articles analyse a range of scenarios where big data analytics and its applications were used for improving decision making in manufacturing and services sector such as online data analytics, sourcing decisions with considerations for big data analytics, barriers in the adoption of big data analytics, maintenance planning, and multi-sensor data for fault pattern extraction. The paper summarises the discussions on the use of big data analytics in manufacturing and service sectors.	en_US
dc.relation.ispartof	Computers and Industrial Engineering	en_US
dc.relation.isbasedon	10.1016/j.cie.2018.12.026	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	Next generation smart manufacturing and service systems using big data analytics	en_US
dc.type	Journal Article
utslib.citation.volume	128	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-12-11T00:00:00+1100
pubs.publication-status	Published	en_US
pubs.volume	128	en_US

Abstract:

© 2018 Elsevier Ltd This special issue explores advancements in the next generation manufacturing and service systems by examining the novel methods, practical challenges and opportunities in the use of big data analytics. The selected articles analyse a range of scenarios where big data analytics and its applications were used for improving decision making in manufacturing and services sector such as online data analytics, sourcing decisions with considerations for big data analytics, barriers in the adoption of big data analytics, maintenance planning, and multi-sensor data for fault pattern extraction. The paper summarises the discussions on the use of big data analytics in manufacturing and service sectors.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/129334