Learning factory design: a competency-oriented approach integrating three design levels. - M. Tisch; C. Hertle; Eberhard Abele; Joachim Metternich; Ralf Tenberg (Int. J. Comput. Integr. Manuf., 2016)

Development of bottleneck detection methods allowing for an effective fault repair prioritization in machining lines of the automobile industry. - Michael Wedel; Philipp Noessler; Joachim Metternich (Prod. Eng., 2016)

Simulation-Based Optimization of Sequencing Buffer Allocation in Automated Storage and Retrieval Systems for Automobile Production. - Christian Urnauer; Eva Bosch; Joachim Metternich (WSC, 2019)

Hybrid Learning Factories for Lean Education: Approach and Morphology for Competency-Oriented Design of Suitable Virtual Reality Learning Environments. - Thomas Riemann; Antonio Kreß; Liane Klassen; Joachim Metternich (ELEC, 2021)

On The Reliability Of Machine Learning Applications In Manufacturing Environments. - Nicolas Jourdan 001; Sagar Sen; Erik Johannes Husom; Enrique Garcia-Ceja; Tobias Biegel; Joachim Metternich (CoRR, 2021)

Pay-per-Stress - Belastungsorientierte Leasingmodelle im Maschinenbau. - Lukas Florian Bossler; Timo Rogalski; Patrick Stanula; Enno Lang; Oliver Kohn; Joachim Metternich; Matthias Weigold; Julia Krönung; Arne Buchwald (Wirtschaftsinformatik Manag., 2021)

TexPrax: A Messaging Application for Ethical, Real-time Data Collection and Annotation. - Lorenz Stangier; Ji-Ung Lee; Yuxi Wang; Marvin Müller; Nicholas Frick; Joachim Metternich; Iryna Gurevych (AACL/IJCNLP (System Demonstrations), 2022)

The Digital Value Stream Twin. - Nicholas Frick; Joachim Metternich (Syst., 2022)

Toward the Sustainable Development of Machine Learning Applications in Industry 4.0. - Sara Ellenrieder; Nicolas Jourdan 001; Tobias Biegel; Beatriz Bretones-Cassoli; Joachim Metternich; Peter Buxmann (ECIS, 2023)

Challenges for Predictive Quality in Multi-stage Manufacturing: Insights from Literature Review. - Beatriz Bretones-Cassoli; Joachim Metternich (SEA4DQ@SIGSOFT FSE, 2023)

A Nearest Neighbor-Based Concept Drift Detection Strategy for Reliable Tool Condition Monitoring. - Nicolas Jourdan 001; Joachim Metternich (SEA4DQ@SIGSOFT FSE, 2023)

Inferring Missing Event Log Data from IoT Sensor Data - A Case Study in Manufacturing. - Alexander Seeliger; Markus Schreiber; Florian Giger; Joachim Metternich; Max Mühlhäuser (BPM (Forum), 2024)

Konzeption eines adaptiven Systems für Augmented Reality Lehr-Lernsysteme mit individuellen Lernszenarien. - Dennis Wohlers; Roland Schröder-Kroll; Svetlana Golovanev; Michael Geis; Maximilian Mushoff; Valerie Varney; Joachim Metternich; Rüdiger Weißbach; Axel Wagenitz (DeLFI, 2024)

Digital Assistance Systems to Implement Machine Learning in Manufacturing: A Systematic Review. - Jannik Rosemeyer; Marta Pinzone; Joachim Metternich (Mach. Learn. Knowl. Extr., 2024)

Design Model for the Digital Shadow of a Value Stream. - Nicholas Frick; Jan Terwolbeck; Benjamin Seibel; Joachim Metternich (Syst., 2024)

SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes. - Tobias Biegel; Patrick Helm; Nicolas Jourdan 001; Joachim Metternich (J. Intell. Manuf., 2024)