TY  - CHAP
A1  - Ulmer, Jessica
A1  - Wollert, Jörg
A1  - Cheng, C.
A1  - Dowey, S.
T1  - Enterprise Gamification für produzierende mittelständische Unternehmen
T2  - Automation 2020 : Shaping Automation for our Future
N2  - Die fortschreitende Digitalisierung und Globalisierung fordert von den Unternehmen eine erhöhte Flexibilität und Anpassungsfähigkeit. Um dies zu erreichen, sind qualifizierte und engagierte Mitarbeiter/-innen unabdingbar. Gamification bietet die Möglichkeit, Beschäftigte individuell in ihren Tätigkeiten zu unterstützen 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.
Y1  - 2020
SN  - 978-3-18-092375-8
U6  - https://doi.org/10.51202/9783181023754-157
N1  - 21. Leitkongress der Mess- und Automatisierungstechnik AUTOMATION 2020, Shaping Automation for our Future, 30. Juni und 01. Juli 2020,
SP  - 157
EP  - 165
PB  - VDI-Verlag
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Otten, D.
A1  - Schmidt, M.
A1  - Weber, Tobias
T1  - Advances in Determination of Material Parameters for Functional Simulations Based on Process Simulations
T2  - SAMPE Europe Conference 16 Liege
Y1  - 2016
SN  - 978-1-5108-3800-0
SP  - 570
EP  - 577
ER  - 
TY  - CHAP
A1  - Weber, Tobias
A1  - Tellis, Jane J.
A1  - Duhovic, Miro
T1  - Characterization of tool-part-interaction an interlaminar friction for manufacturing process simulation
T2  - ECCM 17, 17th European Conference on Composite Materials, München, DE, Jun 26-30, 2016
Y1  - 2016
SN  - 978-3-00-053387-7
SP  - 1
EP  - 7
ER  - 
TY  - CHAP
A1  - Hailer, Benjamin
A1  - Weber, Tobias
A1  - Arent, Jan-Christoph
T1  - Manufacturing Process Simulation for Autoclave-Produced Sandwich Structures
T2  - Proceedings of SAMPE Europe Conference 2019, Nantes, France
Y1  - 2019
SP  - 1
EP  - 8
ER  - 
TY  - CHAP
A1  - Weber, Tobias
A1  - Englhard, Markus
A1  - Hailer, Benjamin
A1  - Arent, Jan-Christoph
T1  - Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling
T2  - Proceedings of SAMPE Europe Conference 2019, Nantes, France
Y1  - 2019
SP  - 1
EP  - 10
ER  - 
TY  - CHAP
A1  - Weber, Tobias
A1  - Englhard, Markus
A1  - Hailer, Benjamin
A1  - Arent, Jan-Christoph
T1  - Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling
T2  - Proceedings of SAMPE Europe Conference, Amiens , France
Y1  - 2015
SP  - 1
EP  - 10
ER  - 
TY  - CHAP
A1  - Weber, Tobias
T1  - Manufacturing Process Simulation for Tooling Optimization: Reduction of Quality Issues During Autoclave Manufacturing of Composite Parts
T2  - Proceedings of SAMPE Europe Conference 2015, Amiens, France
Y1  - 2015
SP  - 1
EP  - 8
ER  - 
TY  - CHAP
A1  - Otten, D.
A1  - Schmid, M.
A1  - Weber, Tobias
T1  - Advances In Sheet Metal-Forming: Reduction Of Tooling Cost By Methodical Optimization
T2  - Proceedings of SAMPE Europe Conference, Amiens , France
Y1  - 2015
ER  - 
TY  - CHAP
A1  - Schmidts, Oliver
A1  - Kraft, Bodo
A1  - Winkens, Marvin
A1  - Zündorf, Albert
T1  - Catalog integration of low-quality product data by attribute label ranking
T2  - Proceedings of the 9th International Conference on Data Science, Technology and Applications DATA - Volume 1
N2  - 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.
Y1  - 2020
SN  - 978-989-758-440-4
U6  - https://doi.org/10.5220/0009831000900101
N1  - 9th International Conference on Data Science, Technologies and Applications (DATA 2020), 7 - 9 July 2020, online
SP  - 90
EP  - 101
PB  - SciTePress
CY  - Setúbal, Portugal
ER  - 
TY  - CHAP
A1  - Duffner, Markus
A1  - Moorkamp, Wilfried
A1  - Peterson, Leif Arne
A1  - Uibel, Thomas
ED  - Kuhlmann, Ulrike
T1  - Untersuchungen zur Tragfähigkeit und Steifigkeit eines neuartigen Wandelements in Holzbauweisen
T2  - Doktorandenkolloquium Holzbau Forschung + Praxis : Stuttgart, 08./09. März 2018
Y1  - 2018
SP  - 131
EP  - 139
PB  - Universität Stuttgart, Institut für Konstruktion und Entwurf
CY  - Stuttgart
ER  -