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.
| Author of HS Reutlingen | 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 |
| Page Number: | 7 |
| First Page: | 222 |
| Last Page: | 228 |
| DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
| Open Access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
