@inproceedings{BragardSubeSchneideretal.2019,
  author    = {Bragard, Michael and Sube, Maike and Schneider, Maike and Jungemann, Christoph},
  title     = {Introducing a Cross-University Bachelor's Programme with Orientation Semester - Enabling a Permeable Academic Education System},
  series = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  booktitle = {2019 20th International Conference on Research and Education in Mechatronics (REM)},
  isbn      = {978-1-5386-9257-8},
  doi       = {10.1109/REM.2019.8744132},
  pages     = {1 -- 6},
  year      = {2019},
  language  = {en}
}
@inproceedings{UlmerWollertChengetal.2020,
  author    = {Ulmer, Jessica and Wollert, J{\"o}rg and Cheng, C. and Dowey, S.},
  title     = {Enterprise Gamification f{\"u}r produzierende mittelst{\"a}ndische Unternehmen},
  series = {Automation 2020 : Shaping Automation for our Future},
  booktitle = {Automation 2020 : Shaping Automation for our Future},
  publisher = {VDI-Verlag},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-092375-8},
  doi       = {10.51202/9783181023754-157},
  pages     = {157 -- 165},
  year      = {2020},
  abstract  = {Die fortschreitende Digitalisierung und Globalisierung fordert von den Unternehmen eine erh{\"o}hte Flexibilit{\"a}t und Anpassungsf{\"a}higkeit. Um dies zu erreichen, sind qualifizierte und engagierte Mitarbeiter/-innen unabdingbar. Gamification bietet die M{\"o}glichkeit, Besch{\"a}ftigte individuell in ihren T{\"a}tigkeiten zu unterst{\"u}tzen und mittels Feedbackmechanismen zu motivieren. In dieser Arbeit wird ein Gamification Konzept bestehend aus einem intelligenten Arbeitsplatz, einer Wissensdatenbank und einer Gamification Plattform vorgestellt, welches an bestehende Produktionsumgebungen adaptiert werden kann. Das Konzept wird am Beispiel der Longboardproduktion in der Industrie 4.0 Modellfabrik der FH Aachen implementiert und evaluiert.},
  language  = {de}
}
@inproceedings{OttenSchmidtWeber2016,
  author    = {Otten, D. and Schmidt, M. and Weber, Tobias},
  title     = {Advances in Determination of Material Parameters for Functional Simulations Based on Process Simulations},
  series = {SAMPE Europe Conference 16 Liege},
  booktitle = {SAMPE Europe Conference 16 Liege},
  isbn      = {978-1-5108-3800-0},
  pages     = {570 -- 577},
  year      = {2016},
  language  = {en}
}
@inproceedings{WeberTellisDuhovic2016,
  author    = {Weber, Tobias and Tellis, Jane J. and Duhovic, Miro},
  title     = {Characterization of tool-part-interaction an interlaminar friction for manufacturing process simulation},
  series = {ECCM 17, 17th European Conference on Composite Materials, M{\"u}nchen, DE, Jun 26-30, 2016},
  booktitle = {ECCM 17, 17th European Conference on Composite Materials, M{\"u}nchen, DE, Jun 26-30, 2016},
  isbn      = {978-3-00-053387-7},
  pages     = {1 -- 7},
  year      = {2016},
  language  = {en}
}
@inproceedings{HailerWeberArent2019,
  author    = {Hailer, Benjamin and Weber, Tobias and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for Autoclave-Produced Sandwich Structures},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2019,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 10},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2015,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  pages     = {1 -- 10},
  year      = {2015},
  language  = {en}
}
@inproceedings{Weber2015,
  author    = {Weber, Tobias},
  title     = {Manufacturing Process Simulation for Tooling Optimization: Reduction of Quality Issues During Autoclave Manufacturing of Composite Parts},
  series = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  pages     = {1 -- 8},
  year      = {2015},
  language  = {en}
}
@inproceedings{OttenSchmidWeber2015,
  author    = {Otten, D. and Schmid, M. and Weber, Tobias},
  title     = {Advances In Sheet Metal-Forming: Reduction Of Tooling Cost By Methodical Optimization},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  year      = {2015},
  language  = {en}
}
@inproceedings{SchmidtsKraftWinkensetal.2020,
  author    = {Schmidts, Oliver and Kraft, Bodo and Winkens, Marvin and Z{\"u}ndorf, Albert},
  title     = {Catalog integration of low-quality product data by attribute label ranking},
  series = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1},
  publisher = {SciTePress},
  address   = {Set{\´u}bal, Portugal},
  isbn      = {978-989-758-440-4},
  doi       = {10.5220/0009831000900101},
  pages     = {90 -- 101},
  year      = {2020},
  abstract  = {The integration of product data from heterogeneous sources and manufacturers into a single catalog is often still a laborious, manual task. Especially small- and medium-sized enterprises face the challenge of timely integrating the data their business relies on to have an up-to-date product catalog, due to format specifications, low quality of data and the requirement of expert knowledge. Additionally, modern approaches to simplify catalog integration demand experience in machine learning, word vectorization, or semantic similarity that such enterprises do not have. Furthermore, most approaches struggle with low-quality data. We propose Attribute Label Ranking (ALR), an easy to understand and simple to adapt learning approach. ALR leverages a model trained on real-world integration data to identify the best possible schema mapping of previously unknown, proprietary, tabular format into a standardized catalog schema. Our approach predicts multiple labels for every attribute of an inpu t column. The whole column is taken into consideration to rank among these labels. We evaluate ALR regarding the correctness of predictions and compare the results on real-world data to state-of-the-art approaches. Additionally, we report findings during experiments and limitations of our approach.},
  language  = {en}
}