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Methodik für Wissens- und Prozessmanagement bei der interaktiven kollaborativen Montage variantenreicher Produkte

dc.contributor.authorSchneider, Marcus
dc.date.accessioned2021-08-17T04:15:09Z
dc.date.available2021-08-17T04:15:09Z
dc.date.issued2021
dc.date.submitted2021-08-16T09:31:16Z
dc.identifierONIX_20210816_9783731510468_8
dc.identifier1860-5990
dc.identifierhttps://library.oapen.org/handle/20.500.12657/50447
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/71678
dc.description.abstractCollaboration-oriented knowledge and process management must support the integration of all systems involved, address specific questions of the division of labor within the control system, but also enable the planning and engineering of new variants and contribute to a continuous increase in quality through the persistence and analysis of process data.
dc.languageGerman
dc.relation.ispartofseriesReihe Informationsmanagement im Engineering Karlsruhe
dc.rightsopen access
dc.subject.otherInformationsmanagement
dc.subject.otherRobotik
dc.subject.otherCobot
dc.subject.otherMontage
dc.subject.otherKollaboration
dc.subject.otherInformation Management
dc.subject.otherRobotics
dc.subject.otherAssembly
dc.subject.otherCollaboration
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials
dc.titleMethodik für Wissens- und Prozessmanagement bei der interaktiven kollaborativen Montage variantenreicher Produkte
dc.typebook
oapen.identifier.doi10.5445/KSP/1000123306
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510468
oapen.imprintKIT Scientific Publishing
oapen.pages198
oapen.place.publicationKarlsruhe
dc.seriesnumber24
dc.abstractotherlanguageCollaboration-oriented knowledge and process management must support the integration of all systems involved, address specific questions of the division of labor within the control system, but also enable the planning and engineering of new variants and contribute to a continuous increase in quality through the persistence and analysis of process data.


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