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Rediscovering scientific management. The evolution from industrial engineering to industrial data science

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Rediscovering scientific management. The evolution from industrial engineering to industrial data science

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dc.contributor.author Deuse, Jochen es_ES
dc.contributor.author West, Nikolai es_ES
dc.contributor.author Syberg, Marius es_ES
dc.date.accessioned 2022-02-07T09:40:35Z
dc.date.available 2022-02-07T09:40:35Z
dc.date.issued 2022-01-31
dc.identifier.uri http://hdl.handle.net/10251/180582
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship German Federal Ministry of Education and Research (BMBF), program ‘Industry 4.0 - Collaborations in Dynamic Value Networks (InKoWe)’ in the project AKKORD (02P17D210) es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Scientific Management es_ES
dc.subject Industrial Engineering es_ES
dc.subject Industrial Data Science es_ES
dc.subject Data Science es_ES
dc.subject Data Analytics es_ES
dc.subject Process Chain es_ES
dc.title Rediscovering scientific management. The evolution from industrial engineering to industrial data science es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2022.16617
dc.relation.projectID info:eu-repo/grantAgreement/BMBF/AKKORD/02P17D210/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Deuse, J.; West, N.; Syberg, M. (2022). Rediscovering scientific management. The evolution from industrial engineering to industrial data science. International Journal of Production Management and Engineering. 10(1):1-12. https://doi.org/10.4995/ijpme.2022.16617 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2022.16617 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\16617 es_ES
dc.contributor.funder Bundesministerium für Bildung und Forschung, Alemania es_ES
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