Pull production cycle-time under varying product mixes. - Chakkaphan Athapornmongkon; Jochen Deuse; Chee Yew Wong (WSC, 2006)

Approach to reduce costs in a warehouse with simultaneous increase of the system's flexibility. - Philipp Scholl 001; Jochen Deuse (SOLI, 2010)

Process and Human Safety in Human-Robot-Interaction - A Hybrid Assistance System for Welding Applications. - Carsten Thomas 001; Felix Busch; Bernd Kuhlenkötter; Jochen Deuse (ICIRA (1), 2011)

The Industrial Engineering Laboratory. - Marlies Steffen; Dominik May; Jochen Deuse (EDUCON, 2012)

Renaissance of Group Technology: Reducing Variability to Match Lean Production Prerequisites. - Jochen Deuse; Benedikt Konrad; Fabian Bohnen (MIM, 2013)

Systematic and Continuous Improvement of Value Streams. - Peter Kuhlang; Sabine Hempen; Thomas Edtmayr; Jochen Deuse; Wilfried Sihn (MIM, 2013)

Multi-objective optimization of facility planning for energy intensive companies. - Lei Yang; Jochen Deuse; Pingyu Jiang (J. Intell. Manuf., 2013)

Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes. - Regina Wallis; Josip Stjepandic; Stefan Rulhoff; Frank Stromberger; Jochen Deuse (CE, 2014)

Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk. - Christoph Roser; Kai Lorentzen; Jochen Deuse (Logist. Res., 2015)

Task planning for human robot interactive processes. - Nils Wantia; Menno Esen; Andre Hengstebeck; Frank Heinze; Jürgen Rossmann; Jochen Deuse; Bernd Kuhlenkötter (ETFA, 2016)

Praxisnahes Lehrkonzept zum Aufbau von zeitwirtschaftlicher Kompetenz mit IT-Systemen von dmc-ortim und SAP. - Fabian Nöhring; Matthias Krebs; Frank Pöschel; Jochen Deuse (MKWI, 2016)

Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen. - Ferdinand Klenner; David Lenze; Samuel Schwarzer; Jochen Deuse; Tilman Friedrich (Autom., 2016)

Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. - Mario Wiegand; Marco Stolpe; Jochen Deuse; Katharina Morik (Autom., 2016)

Bottleneck Prediction Using the Active Period Method in Combination with Buffer Inventories. - Christoph Roser; Kai Lorentzen; David Lenze; Jochen Deuse; Ferdinand Klenner; Ralph Richter; Jacqueline Schmitt; Peter Willats (APMS (2), 2017)

Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning. - Patrick Straus; Markus Schmitz; René Wöstmann; Jochen Deuse (IEEE BigData, 2018)

Similarity-search and Prediction Based Process Parameter Adaptation for Quality Improvement in Interlinked Manufacturing Processes. - Jacqueline Schmitt; Jochen Deuse (IEEM, 2018)

Automatic Generation of Methods-Time Measurement Analyses for Assembly Tasks from Motion Capture Data Using Convolutional Neuronal Networks - A Proof of Concept. - Jochen Deuse; Lukas Stankiewicz; Ronny Zwinkau; Frank Weichert (AHFE (8), 2019)

Automatic Particle Classification Through Deep Learning Approaches for Increasing Productivity in the Technical Cleanliness Laboratory. - Ronny Zwinkau; Simon Frentrup; Roman Möhle; Jochen Deuse (AHFE (8), 2019)

The Power of Six: Relation Between Time and Money in Manufacturing for Segments of the Value Stream. - Christoph Roser; Bernd Langer; Jochen Deuse (ELEC, 2019)

Dynamic digital twin for predictive maintenance in flexible production systems. - André Barthelmey; Eunseo Lee; Ramy Hana; Jochen Deuse (IECON, 2019)

Practical Framework for Advanced Quality-based Process Control in Interlinked Manufacturing Processes. - Jacqueline Schmitt; Florian Hahn 003; Jochen Deuse (IEEM, 2019)

Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty. - Lukas Schulte; Jacqueline Schmitt; Florian Meierhofer; Jochen Deuse (AHFE (7), 2020)

Conception of a Reference Architecture for Machine Learning in the Process Industry. - René Wöstmann; Philipp Schlunder; Fabian Temme; Ralf Klinkenberg; Josef Kimberger; Andrea Spichtinger; Markus Goldhacker; Jochen Deuse (IEEE BigData, 2020)

Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing. - Jacqueline Schmitt; Jochen Bönig; Thorbjörn Borggräfe; Gunter Beitinger; Jochen Deuse (Adv. Eng. Informatics, 2020)

A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics. - Norman Roth; Jochen Deuse; Hubert Biedermann (Int. J. Prod. Res., 2020)

Applying Packing Problems to Optimize Throughput Time and Human Ergonomics in Project Shops. - Thomas Henke; Jochen Deuse (AHFE (16), 2021)

Reduction of Human Effort in Technical Cleanliness Inspection Through Advanced Image Processing Approaches. - Thorben Panusch; Roman Möhle; Ronny Zwinkau; Jochen Deuse (AHFE (16), 2021)

Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data. - Thomas Schlegl; Stefan Schlegl; Amélie Sciberras; Nikolai West; Jochen Deuse (IEEE BigData, 2021)

Managing Variability in Production. - Ralph Richter; Jochen Deuse; Peter Willats; Marius Syberg; David Lenze (APMS (1), 2021)

Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science. - Nikolai West; Jonas Gries; Carina Brockmeier; Jens Christian Göbel; Jochen Deuse (IRI, 2021)

Quality Assurance in Interlinked Manufacturing Processes. - Jochen Deuse; Katharina Morik; Amal Saadallah; Jan Büscher; Thorben Panusch (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants. - Mikhail Polikarpov; Georgii Emelianov; Fabian Hübner; Aqib Farooq; Rekha Prasad; Jochen Deuse; Jochen Schiemann (ETFA, 2022)

Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines. - Nikolai West; Jörn Schwenken; Jochen Deuse (IEA/AIE, 2022)

Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs. - Daniel Boiar; Nils Killich; Lukas Schulte; Victor Hernandez Moreno; Jochen Deuse; Thomas Liebig (SEFM Workshops, 2022)

Adaptive similarity search for the retrieval of rare events from large time series databases. - Thomas Schlegl; Stefan Schlegl; Domenico Tomaselli; Nikolai West; Jochen Deuse (Adv. Eng. Informatics, 2022)

Towards Smart Manufacturing using Reinforcement Learning in a Sparse-Rewarded Environment for Through-Hole Technology. - Kuntoro Adi Nugroho; Muhamad Amirul Haq; Chia-Ko Wang; Shanq-Jang Ruan; Mikhail Polikarpov; David Wagstyl; Jochen Deuse (GCCE, 2023)

A Cost-Efficient Robotic Through-Hole Assembly System for Dual-Pin Component Insertion. - Mikhail Polikarpov; Yousuf Mehmood; Daniel Boiar; Lukas Schulte; Jochen Deuse (ICCMA, 2023)

Guided Learning from Demonstration for Robust Transferability. - Fouad Sukkar; Victor Hernandez Moreno; Teresa A. Vidal-Calleja; Jochen Deuse (ICRA, 2023)

Data-driven approach for diagnostic analysis of dynamic bottlenecks in serial manufacturing systems. - Nikolai West; Jörn Schwenken; Jochen Deuse (CoRR, 2023)

Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language. - Christine Rese; Nikolai West; Mathias Gebler; Sven Krzoska; Philipp Schlunder; Jochen Deuse (J. Softw., 2023)

Creating lean value streams through proactive variability management. - Ralph Richter; Marius Syberg; Jochen Deuse; Peter Willats; David Lenze (Int. J. Prod. Res., 2023)

Multi-volume Potential Fields for Effective Learning from Demonstration. - Victor Hernandez Moreno; Louis Fernandez; Marc G. Carmichael; Jochen Deuse (CASE, 2024)

A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data. - Nikolai West; Jochen Deuse (HICSS, 2024)

Modular Data Analytics as a Tool for Citizen Data Scientists in Quality Management. - Sebastian Pähler; Marius Syberg; Jochen Deuse (ICECET, 2024)

A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing. - Frederik Ferid Ostermeier; Jochen Deuse (J. Sched., 2024)

Flexible job shop scheduling with preventive maintenance consideration. - Michael Mario Wocker; Frederik Ferid Ostermeier; Tobias Wanninger; Ronny Zwinkau; Jochen Deuse (J. Intell. Manuf., 2024)

Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review. - Victor Hernandez Moreno; Steffen Jansing; Mikhail Polikarpov; Marc G. Carmichael; Jochen Deuse (Robotics Comput. Integr. Manuf., 2024)

Case study on delivery time determination using a machine learning approach in small batch production companies. - Alexander Rokoss; Marius Syberg; Laura Tomidei; Christian Hülsing; Jochen Deuse; Matthias Schmidt 003 (J. Intell. Manuf., 2024)

PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments. - Nikolai West; Jochen Deuse (CoRR, 2025)