Showing results 40 to 59 of 82
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| Issue Date | Title | Author(s) |
| 2023-02-08 | Guided Learning from Demonstration for Robust Transferability | Sukkar, F; Moreno, VH; Vidal-Calleja, T; Deuse, J |
| 2023-07-04 | Guided Learning from Demonstration for Robust Transferability | Sukkar, F; Moreno, VH; Vidal-Calleja, T; Deuse, J |
| 2023-01-01 | How Moderator Variables Affect Scheduling Objectives in Unpaced Mixed-Model Assembly Lines | Ostermeier, F; West, N; Deuse, J |
| 2022-05-01 | Identification and Prediction of Dynamic Bottlenecks - Conception and User Requirements for a Practical Process Selection and Further Development | Schwenken, J; Schallow, J; Sollik, D; Richter, R; Deuse, J |
| 2020-10-01 | Implementing industrial data science | Nolte, V; Sindram, T; Mazarov, J; Deuse, J |
| 2020-01-01 | Implementing Industrial Data Science - Interview based study on success factors and obstacles | Nolte, V; Sindram, T; Mazarov, J; Deuse, J |
| 2019-01-01 | Increasing flexibility of employees in production processes using the differential learning approach – adaptation and validation of motor learning theories | Weisner, K; Knittel, M; Jaitner, T; Deuse, J |
| 2019-12-01 | Industrial data science in value creation networks | Mazarov, J; Wolf, P; Schallow, J; Nöhring, F; Deuse, J; Richter, R |
| 2019-01-01 | Influence and causes of variability in customer order-specific production | Wolf, P; Deuse, J; Richter, R |
| 2023-04-27 | It’s Coming Home Down Under–The Potential of Digital Work to Overcome Australia’s Challenges in Reshoring Manufacturing | Lammers, T; Sick, N; Guertler, M; Deuse, J; Shajek, A; Hartmann, EA |
| 2023-01-01 | Joint modelling of the order-dependent parts supply strategies sequencing, kitting and batch supply for assembly lines: insights from industrial practice | Ostermeier, FF; Jaehnert, J; Deuse, J |
| 2021-01-01 | Managing Variability in Production | Richter, R; Deuse, J; Willats, P; Syberg, M; Lenze, D; Dolgui, A; Bernard, A; Lemoine, D; VonCieminski, G; Romero, D |
| 2022-01-01 | Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data | Schlegl, T; Schlegl, S; Sciberras, A; West, N; Deuse, J; Chen, Y; Ludwig, H; Tu, Y; Fayyad, U; Zhu, X; Hu, X; Byna, S; Liu, X; Zhang, J; Pan, S; Papalexakis, V; Wang, J; Cuzzocrea, A; Ordonez, C |
| 2018-10-01 | Metal/Nonmetal classification of particles with deep learning | Zwinkau, R; Möhle, R; Frentrup, S; Deuse, J |
| 2023-01-01 | Modelling forgetting due to intermittent production in mixed-model line scheduling | Ostermeier, FF; Deuse, J |
| 2016-05-01 | Modern time management in job shop and batch production - Standard times as a success factor in machinery and plant engineering with many variants ;Moderne Zeitwirtschaft in der Einzel- und Kleinserienfertigung Planzeitbausteine als Erfolgsfaktor im variantenreichen Maschinenund Anlagenbau] | Nöhring, F; Sackermann, R; Krebs, M; Deuse, J |
| 2019-03-18 | On the integration of manufacturing strategy: deconstructing Hoshin Kanri | Thürer, M; Maschek, T; Fredendall, L; Gianiodis, P; Stevenson, M; Deuse, J |
| 2019-05-01 | Opportunistic maintenance planning in flexible manufacturing systems | Wocker, M; Wolf, P; Lindworsky, A; Deuse, J |
| 2020-01-01 | Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty | Schulte, L; Schmitt, J; Meierhofer, F; Deuse, J |
| 2017-12-01 | Planning framework to standardize the material supply for individual and small series of large scale products with many variants | Henke, T; Weisner, K; Schulte, L; Deuse, J |
