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of 3
pro vyhledávání: '"Brkovic, Nikola"'
Autor:
Maier, Janine Tatjana, Rokoss, Alexander, Green, Thorben, Brkovic, Nikola, Schmidt, Matthias, Herberger, David, Hübner, Marco
Publikováno v:
Proceedings of the Conference on Production Systems and Logistics: CPSL 2022
Manufacturing companies tend to use standardized delivery times. The actual delivery times requested by the customers and the current capacity utilization of the production are often not taken into account. Therefore, such a simplification likely res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::252760626b9809f3401a715d556038f3
https://www.repo.uni-hannover.de/handle/123456789/12255
https://www.repo.uni-hannover.de/handle/123456789/12255
Publikováno v:
Maier, J T, Rokoss, A, Green, T, Brkovic, N & Schmidt, M 2022, A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates . in D Herberger & M Hübner (eds), Conference on Production Systems and Logistics : International Conference, CPSL 2022, hosted at the University of British Columbia in Vancouver, Canada, 17th May 2022 – 20th May 2022, Proceedings . Proceedings of the Conference on Production Systems and Logistics, vol. 3, publish-Ing., pp. 121-130, 3rd Conference on Production Systems and Logistics, Vancouver, Canada, 17.05.22 . https://doi.org/10.15488/12157
Manufacturing companies tend to use standardized delivery times. The actual delivery times equested by the customers and the current capacity utilization of the production are often not taken into account. Therefore, such a simplification likely resu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3697::14194fa56cf1a92fca993e16bcc30a2a
https://cpsl-conference.com/wp-content/uploads/2022/06/Proceedings-of-the-Conference-on-Production-Systems-and-Logistics-CPSL-2022.pdf
https://cpsl-conference.com/wp-content/uploads/2022/06/Proceedings-of-the-Conference-on-Production-Systems-and-Logistics-CPSL-2022.pdf
Autor:
Bock, Frederic Eberhard, Paulsen, Tino, Brkovic, Nikola, Rieckmann, Lennart, Kroeger, Dennis, Wolgast, Dominik, Zander, Philip, Suhuddin, Uceu F. H., dos Santos, Jorge Fernandez, Klusemann, Benjamin
Publikováno v:
Bock, F E, Paulsen, T, Brkovic, N, Rieckmann, L, Kroeger, D, Wolgast, D, Zander, P, Suhuddin, U F H, dos Santos, J F & Klusemann, B 2021, Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data . in ESAFORM 2021 : 24th International Conference on Material Forming ., 2589, ESAFORM 2021-24th International Conference on Material Forming, ULiège Library, Liège, 24th International Conference on Material Forming-ESAFORM 2021, Liège, Belgium, 14.04.21 . https://doi.org/10.25518/esaform21.2589
The high-potential of lightweight components consisting of similar or dissimilar materials can be exploited by Solid-State Joining techniques. Whereas defects such as pores and hot cracking are often an issue in fusion-based joining processes, via so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3697::02abd412856bc2eff09c229c546a9796
https://www.mendeley.com/catalogue/d7b822c9-0728-3378-b54f-d7fd4e4f7e41/
https://www.mendeley.com/catalogue/d7b822c9-0728-3378-b54f-d7fd4e4f7e41/