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Optimization model to extend existing production planning and control systems for the use of additive manufacturing technologies in the industrial production

  • The use of additive manufacturing technologies for industrial production is constantly growing. This technology differs from the known production proecdures. The areas for scheduling, detailed and sequence planning are particularly important for additive production due to the long print times and flexible use of the production area. Therefore, production-relevant variables are considered and used for the production planning and control (PPC) of additive manufacturing machines. For this purpose, an optimization model is presented which shows a time-oriented build space utilization. In the implementation, a nesting algorithm is used to check the combinability of different models for each individual print job.

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Metadaten
Name:Baumung, Wjatscheslav
URN:urn:nbn:de:bsz:rt2-opus4-19606
DOI:https://doi.org/10.1016/j.promfg.2018.06.035
ISSN:2351-9789
Erschienen in:Procedia manufacturing
Publisher:Elsevier
Place of publication:Amsterdam
Editor:Berend Denkena
Document Type:Article
Language:English
Year of Publication:2018
Tag:3d printing; additive manufacturing; optimization; production planning and control (PPC); scheduling
Volume:24
Pagenumber:7
First Page:222
Last Page:228
Dewey Decimal Classification:620 Ingenieurwissenschaften und Maschinenbau
Open Access:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International