Rediscovering Scientific Management - The Evolution from Industrial Engineering to Industrial Data Science

Deuse, J; West, N; Syberg, M

Rediscovering Scientific Management - The Evolution from Industrial Engineering to Industrial Data Science

Deuse, J

West, N Syberg, M

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Publisher:: Universitat Politecnica de Valencia
Publication Type:: Journal Article
Citation:: International Journal of Production Management and Engineering, 2022, 10, (1), pp. 1-12
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.contributor.author	West, N
dc.contributor.author	Syberg, M
dc.date.accessioned	2023-03-10T02:37:09Z
dc.date.available	2023-03-10T02:37:09Z
dc.date.issued	2022-01-01
dc.identifier.citation	International Journal of Production Management and Engineering, 2022, 10, (1), pp. 1-12
dc.identifier.issn	2340-5317
dc.identifier.issn	2340-4876
dc.identifier.uri	http://hdl.handle.net/10453/166939
dc.description.abstract	Industrial Engineering, through its role as design, planning and organizational body of the industrial production, has been crucial for the success of manufacturing companies for decades. The potential, expected over the course of Industry 4.0 and through the application of Data Analytic tools and methods, requires a coupling to established methods. This creates the necessity to extend the traditional job description of Industrial Engineering by new tools from the field of Data Analytics, namely Industrial Data Science. Originating from the historic pioneers of Industrial Engineering, it is evident that the basic principles will remain valuable. However, further development in view of the data analytic possibilities is already taking place. This paper reviews the origins of Industrial Engineering with reference to four pioneers, draws a connection to current day usage, and considers possibilities for future applications of Industrial Data Science.
dc.language	en
dc.publisher	Universitat Politecnica de Valencia
dc.relation.ispartof	International Journal of Production Management and Engineering
dc.relation.isbasedon	10.4995/ijpme.2022.16617
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Rediscovering Scientific Management - The Evolution from Industrial Engineering to Industrial Data Science
dc.type	Journal Article
utslib.citation.volume	10
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
pubs.organisational-group	/University of Technology Sydney/Strength - CAM - Centre for Advanced Manufacturing
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-10T02:37:08Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	10
utslib.citation.issue	1

Abstract:

Industrial Engineering, through its role as design, planning and organizational body of the industrial production, has been crucial for the success of manufacturing companies for decades. The potential, expected over the course of Industry 4.0 and through the application of Data Analytic tools and methods, requires a coupling to established methods. This creates the necessity to extend the traditional job description of Industrial Engineering by new tools from the field of Data Analytics, namely Industrial Data Science. Originating from the historic pioneers of Industrial Engineering, it is evident that the basic principles will remain valuable. However, further development in view of the data analytic possibilities is already taking place. This paper reviews the origins of Industrial Engineering with reference to four pioneers, draws a connection to current day usage, and considers possibilities for future applications of Industrial Data Science.

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http://hdl.handle.net/10453/166939