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dc.contributor.authorPasetti Monizza G
dc.contributor.authorRojas RA
dc.contributor.authorRauch E
dc.contributor.authorGarcia MAR
dc.contributor.authorMatt DT
dc.contributor.editorChiabert P
dc.contributor.editorBouras A
dc.contributor.editorNoël F
dc.contributor.editorRíos J
dc.date.accessioned2019-02-14T17:52:42Z
dc.date.available2019-02-14T17:52:42Z
dc.date.issued2018
dc.identifier.isbn978-3-030-01613-5
dc.identifier.issn1868-4238
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-030-01614-2_21
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-01614-2_21
dc.identifier.urihttp://hdl.handle.net/10863/8335
dc.description.abstractDigitalization in manufacturing, also known as Industry 4.0, and Cyber Physical Systems (CPS) may turn ordinary manufacturing systems, usually designed for mass-production, into highly flexible and reconfigurable manufacturing system for mass customization purposes. The huge potential of the digital information management and real-time data management introduced by Industry 4.0 will be a key enabler for further developments in mass customization manufacturing. Increasing customization capabilities means increasing product variability and producing small quantities in a highly flexible way; this impacts the production process and the business process as well. Such reconfigurable CPS promise improvements of the production processes efficiency. In order to disseminate this production strategy to students and industry, the authors created a simple case study in order to introduce these aspects in a learning factory environment. This paper presents a pilot case study implemented in the Smart-Mini Factory laboratory at the Free University of Bolzano for educational and research purposes. The pilot case study aims at introducing a digital information management since the early first steps of the business process, combining Computational Design techniques and CPS. The authors discuss a simple pilot case that will be used mainly for dissemination purposes towards people not addicted to CPS and digital environments such as students and SME’s entrepreneurs. In the upcoming academic year, the demonstrator will be tested for the first time in the course Production Systems and Industrial Logistics with engineering students. In addition, the use of the demonstrator in industry seminars on mass customization and computational design is planned. © IFIP International Federation for Information Processing 2018.en_US
dc.languageEnglish
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation15th IFIP WG 5.1 International Conference on Product Lifecycle Management (PLM 2018) ; Turin : 2.7.2018 - 4.7.2018
dc.relation.ispartofseriesIFIP Advances in Information and Communication Technology;
dc.rights
dc.titleA case study in learning factories for real-time reconfiguration of assembly systems through computational design and cyber-physical systemsen_US
dc.typeBook chapteren_US
dc.date.updated2019-02-12T09:16:35Z
dc.publication.titleProduct Lifecycle Management to Support Industry 4.0: 15th IFIP WG 5.1 International Conference, PLM 2018, Turin, Italy, July 2–4, 2018, Proceedings
dc.language.isiEN-GB
dc.description.fulltextreserveden_US


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