h1

h2

h3

h4

h5
h6
000822188 001__ 822188
000822188 005__ 20240311093148.0
000822188 0247_ $$2DOI$$a10.1016/j.procir.2020.04.054
000822188 0247_ $$2ISSN$$a2212-8271
000822188 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85092433897
000822188 0247_ $$2datacite_doi$$a10.18154/RWTH-2021-06587
000822188 037__ $$aRWTH-2021-06587
000822188 041__ $$aEnglish
000822188 082__ $$a670
000822188 1001_ $$0P:(DE-82)IDM00801$$aSchuh, Günther$$b0$$urwth
000822188 1112_ $$a53. CIRP Conference on Manufacturing Systems$$conline$$d2020-07-01 - 2020-07-03$$gCIRP CMS 2020
000822188 245__ $$aApplication of time series data mining for the prediction of transition times in production$$honline
000822188 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2020
000822188 3367_ $$00$$2EndNote$$aJournal Article
000822188 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
000822188 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings
000822188 3367_ $$2BibTeX$$aARTICLE
000822188 3367_ $$2DRIVER$$aarticle
000822188 3367_ $$2DataCite$$aOutput Types/Journal article
000822188 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000822188 500__ $$aKonferenzort: Chicago, USA
000822188 591__ $$aGermany
000822188 653_7 $$aAutomatisierung
000822188 653_7 $$aKomplexität
000822188 653_7 $$aLogistik
000822188 653_7 $$aMaschinenbau
000822188 653_7 $$aModellierung
000822188 653_7 $$aOptimierung
000822188 653_7 $$aProduction Process
000822188 653_7 $$aProduktion
000822188 653_7 $$aProzessoptimierung
000822188 7001_ $$0P:(DE-82)IDM01127$$aGützlaff, Andreas$$b1$$eCorresponding author$$urwth
000822188 7001_ $$0P:(DE-82)IDM02255$$aSauermann, Frederick Christian$$b2$$urwth
000822188 7001_ $$0P:(DE-82)822189$$aTheunissen, Theresa$$b3$$urwth
000822188 770__ $$a53rd CIRP Conference on Manufacturing Systems 2020 : 53rd CIRP Conference on Manufacturing Systems / Edited by Robert X. Gao, Kornel Ehmann
000822188 773__ $$0PERI:(DE-600)2674706-6$$a10.1016/j.procir.2020.04.054$$p897-902$$tProcedia CIRP$$v93$$x2212-8271$$y2020
000822188 7870_ $$0RWTH-2021-03682$$iRelatedTo
000822188 8564_ $$uhttps://publications.rwth-aachen.de/record/822188/files/822188.pdf$$yOpenAccess
000822188 909CO $$ooai:publications.rwth-aachen.de:822188$$pdriver$$pdnbdelivery$$popen_access$$popenaire$$pVDB
000822188 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00801$$aRWTH Aachen$$b0$$kRWTH
000822188 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM01127$$aRWTH Aachen$$b1$$kRWTH
000822188 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM02255$$aRWTH Aachen$$b2$$kRWTH
000822188 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)822189$$aRWTH Aachen$$b3$$kRWTH
000822188 9141_ $$y2020
000822188 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000822188 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-27
000822188 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-27
000822188 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000822188 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
000822188 9201_ $$0I:(DE-82)417200_20140620$$k417200$$lWerkzeugmaschinenlabor WZL der RWTH Aachen$$x0
000822188 9201_ $$0I:(DE-82)417210_20140620$$k417210$$lLehrstuhl für Produktionssystematik$$x1
000822188 961__ $$c2021-07-09T11:34:15.236934$$x2021-07-09T11:34:15.236934$$z2021-07-09T11:34:15.236934
000822188 9801_ $$aFullTexts
000822188 980__ $$aI:(DE-82)417200_20140620
000822188 980__ $$aI:(DE-82)417210_20140620
000822188 980__ $$aUNRESTRICTED
000822188 980__ $$aVDB
000822188 980__ $$acontrib
000822188 980__ $$ajournal