Industrial data science in value creation networks

Mazarov, J; Wolf, P; Schallow, J; Nöhring, F; Deuse, J; Richter, R

Industrial data science in value creation networks

Mazarov, J Wolf, P Schallow, J Nöhring, F Deuse, J

Richter, R

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Publisher:: Walter de Gruyter GmbH
Publication Type:: Journal Article
Citation:: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2019, 114, (12), pp. 874-877
Issue Date:: 2019-12-01

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Field	Value	Language
dc.contributor.author	Mazarov, J
dc.contributor.author	Wolf, P
dc.contributor.author	Schallow, J
dc.contributor.author	Nöhring, F
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.contributor.author	Richter, R
dc.date.accessioned	2022-10-06T03:12:39Z
dc.date.available	2022-10-06T03:12:39Z
dc.date.issued	2019-12-01
dc.identifier.citation	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2019, 114, (12), pp. 874-877
dc.identifier.issn	0947-0085
dc.identifier.issn	2511-0896
dc.identifier.uri	http://hdl.handle.net/10453/162348
dc.description.abstract	Concept of a Service Platform for Data Integration and Analysis, Competence Development and Initiation of New Business Models. Industrial Data Science provides manufacturing companies with innovative opportunities to optimize products and processes as well as to initiate new business models in value creation networks. To enable companies to use modern analysis technologies, the concept of an integrated, data-driven reference kit for Industrial Data Science and its implementation as a collaborative service platform are presented. In addition, use cases of individual solution modules of the service platform are outlined.
dc.language	en
dc.publisher	Walter de Gruyter GmbH
dc.relation.ispartof	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
dc.relation.isbasedon	10.3139/104.112205
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Industrial data science in value creation networks
dc.type	Journal Article
utslib.citation.volume	114
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 Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-10-06T03:12:38Z
pubs.issue	12
pubs.publication-status	Published
pubs.volume	114
utslib.citation.issue	12

Abstract:

Concept of a Service Platform for Data Integration and Analysis, Competence Development and Initiation of New Business Models. Industrial Data Science provides manufacturing companies with innovative opportunities to optimize products and processes as well as to initiate new business models in value creation networks. To enable companies to use modern analysis technologies, the concept of an integrated, data-driven reference kit for Industrial Data Science and its implementation as a collaborative service platform are presented. In addition, use cases of individual solution modules of the service platform are outlined.

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

http://hdl.handle.net/10453/162348