Showing results 21 to 40 of 82
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| Issue Date | Title | Author(s) |
| 2022-01-01 | Woolshed Throughput Improvement Using Discrete Event Simulation | Al-Zqebah, R; Hoffmann, F; Bennett, N; Deuse, J; Clemon, L |
| 2022-01-01 | Creating lean value streams through proactive variability management | Richter, R; Syberg, M; Deuse, J; Willats, P; Lenze, D |
| 2022-01-01 | Rediscovering Scientific Management - The Evolution from Industrial Engineering to Industrial Data Science | Deuse, J; West, N; Syberg, M |
| 2022-01-01 | Application of heuristics for packing problems to optimise throughput time in fixed position assembly islands | Henke, T; Deuse, J |
| 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 |
| 2022-01-01 | Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants | Polikarpov, M; Emelianov, G; Hubner, F; Farooq, A; Prasad, R; Deuse, J; Schiemann, J |
| 2022-01-01 | Data-driven recipe optimisation based on unified digital twins and shared prediction models | Wöstmann, R; Borggräfe, T; Janßen, S; Kimberger, J; Ould, S; Bennett, N; Moreno, VH; Deuse, J |
| 2022-01-01 | Production Flow Analysis in the Era of Industry 4.0 : How Digital Technologies can Support Decision-Making in the Factory of the Future | Tomidei, L; Sick, N; Deuse, J; Clemon, L |
| 2022-01-01 | Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines | West, N; Schwenken, J; Deuse, J; Fujita, H; Fournier-Viger, P; Ali, M; Wang, Y |
| 2022-01-01 | Scalability of Assembly Line Automation Based on the Integrated Product Development Approach | Hoffmann, F; Wesskamp, V; Bleck, R; Deuse, J |
| 2022-01-01 | A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies | West, N; Syberg, M; Deuse, J |
| 2022-01-01 | Explainable Predictive Quality Inspection using Deep Learning in Electronics Manufacturing | Saadallah, A; Büscher, J; Abdulaaty, O; Panusch, T; Deuse, J; Morik, K |
| 2022-01-01 | Early Quality Prediction using Deep Learning on Time Series Sensor Data | Saadallah, A; Abdulaaty, O; Büscher, J; Panusch, T; Morik, K; Deuse, J |
| 2021-11-18 | Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science | West, N; Gries, J; Brockmeier, C; Gobel, JC; Deuse, J |
| 2021-01-01 | Scalable anomaly detection in manufacturing systems using an interpretable deep learning approach | Schlegl, T; Schlegl, S; West, N; 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 |
| 2020-10-01 | Implementing industrial data science | Nolte, V; Sindram, T; Mazarov, J; Deuse, J |
| 2020-08-01 | Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing | Schmitt, J; Bönig, J; Borggräfe, T; Beitinger, G; Deuse, J |
| 2020-02-16 | A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics | Roth, N; Deuse, J; Biedermann, H |
| 2020-01-01 | Systematic combination of Lean Management with digitalization to improve production systems on the example of Jidoka 4.0 | Deuse, J; Dombrowski, U; Nöhring, F; Mazarov, J; Dix, Y |
