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Journal Articles
- 2024
[j6]Tobias Biegel
, Patrick Helm, Nicolas Jourdan, Joachim Metternich:
SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes. J. Intell. Manuf. 35(6): 2671-2698 (2024)- [j5]Nicholas Frick, Jan Terwolbeck, Benjamin Seibel, Joachim Metternich:
Design Model for the Digital Shadow of a Value Stream. Syst. 12(1): 20 (2024) - 2022
- [j4]Nicholas Frick, Joachim Metternich:
The Digital Value Stream Twin. Syst. 10(4): 102 (2022) - 2021
- [j3]Lukas Florian Bossler, Timo Rogalski, Patrick Stanula, Enno Lang, Oliver Kohn, Joachim Metternich, Matthias Weigold, Julia Krönung, Arne Buchwald:
Pay-per-Stress - Belastungsorientierte Leasingmodelle im Maschinenbau. Wirtschaftsinformatik Manag. 13(6): 466-475 (2021) - 2016
- [j2]M. Tisch, C. Hertle, Eberhard Abele, Joachim Metternich, Ralf Tenberg:
Learning factory design: a competency-oriented approach integrating three design levels. Int. J. Comput. Integr. Manuf. 29(12): 1355-1375 (2016) - [j1]Michael Wedel, Philipp Noessler, Joachim Metternich:
Development of bottleneck detection methods allowing for an effective fault repair prioritization in machining lines of the automobile industry. Prod. Eng. 10(3): 329-336 (2016)
Conference and Workshop Papers
- 2024
- [c8]Alexander Seeliger, Markus Schreiber, Florian Giger, Joachim Metternich, Max Mühlhäuser:
Inferring Missing Event Log Data from IoT Sensor Data - A Case Study in Manufacturing. BPM (Forum) 2024: 232-248 - [c7]Dennis Wohlers, Roland Schröder-Kroll, Svetlana Golovanev, Michael Geis, Maximilian Mushoff, Valerie Varney, Joachim Metternich, Rüdiger Weißbach, Axel Wagenitz:
Konzeption eines adaptiven Systems für Augmented Reality Lehr-Lernsysteme mit individuellen Lernszenarien. DeLFI 2024 - 2023
- [c6]Sara Ellenrieder, Nicolas Jourdan, Tobias Biegel, Beatriz Bretones-Cassoli, Joachim Metternich, Peter Buxmann:
Toward the Sustainable Development of Machine Learning Applications in Industry 4.0. ECIS 2023 - [c5]Nicolas Jourdan, Joachim Metternich:
A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring. SEA4DQ@SIGSOFT FSE 2023: 1-4 - [c4]Beatriz Bretones-Cassoli, Joachim Metternich:
Challenges for Predictive Quality in Multi-stage Manufacturing: Insights from Literature Review. SEA4DQ@SIGSOFT FSE 2023: 16-23 - 2022
- [c3]Lorenz Stangier, Ji-Ung Lee, Yuxi Wang, Marvin Müller, Nicholas Frick, Joachim Metternich, Iryna Gurevych:
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. AACL/IJCNLP (System Demonstrations) 2022: 9-16 - 2021
- [c2]Thomas Riemann, Antonio Kreß, Liane Klassen, Joachim Metternich:
Hybrid Learning Factories for Lean Education: Approach and Morphology for Competency-Oriented Design of Suitable Virtual Reality Learning Environments. ELEC 2021: 60-67 - 2019
- [c1]Christian Urnauer, Eva Bosch, Joachim Metternich:
Simulation-Based Optimization of Sequencing Buffer Allocation in Automated Storage and Retrieval Systems for Automobile Production. WSC 2019: 1602-1611
Informal and Other Publications
- 2022
- [i2]Lorenz Stangier, Ji-Ung Lee, Yuxi Wang, Marvin Müller, Nicholas Frick, Joachim Metternich, Iryna Gurevych:
TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. CoRR abs/2208.07846 (2022) - 2021
- [i1]Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich:
On The Reliability Of Machine Learning Applications In Manufacturing Environments. CoRR abs/2112.06986 (2021)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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