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dc.contributor.authorRauch E
dc.contributor.authorMorandell F
dc.contributor.authorMatt DT
dc.contributor.editor
dc.date.accessioned2019-06-25T07:32:30Z
dc.date.available2019-06-25T07:32:30Z
dc.date.issued2019
dc.identifier.issn2351-9789
dc.identifier.urihttp://dx.doi.org/10.1016/j.promfg.2019.03.038
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2351978919304020
dc.identifier.urihttp://hdl.handle.net/10863/10253
dc.description.abstractLearning Factories (LF) are becoming increasingly popular to teach students, how the methods and concepts learned in theory work in a hands-on and industry-related environment. In recent years, many learning factories have been established and experiments have been carried out in the application of practical learning methods. In most cases, these consist of demonstration lessons as well as the opportunity to design, test and optimize production systems and processes in practice. With the introduction of industry 4.0 (I4.0) also many learning factories have to adapt their education model as well as their offer in order to meet the expectations of students and companies. So far, there are only few works dealing with this topic and providing adequate design guidelines. This paper therefore aims to use a systematical and structured way to develop such design guidelines for I4.0 learning factories. As research method, Axiomatic Design is applied by translating students' and companies' needs into functional requirements and then into a set of design parameters/guidelines.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relationCIRP Learning Factories 2019 ; Braunschweig : 26.3.2019 - 28.3.2019
dc.rights
dc.titleAD Design Guidelines for Implementing I4.0 Learning Factoriesen_US
dc.typeBook chapteren_US
dc.date.updated2019-06-21T03:00:19Z
dc.publication.titleProcedia Manufacturing
dc.language.isiEN-GB
dc.journal.titleProcedia Manufacturing
dc.description.fulltextopenen_US


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