Jochen Deuse

52 papers A* 1C 5Misc 2Journal 17Unranked 26
YearRankTypeTitle / Venue / Authors
2025 — conf
Cross-Process Error Detection in Industrial Screw Driving Operations Using Time Series Classification.
WSSE
Nikolai West, Marco Klute, Hans-Peter Heim, Jochen Deuse
2025 J jnl
PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments.
CoRR
Nikolai West, Jochen Deuse
2024 — conf
A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data.
HICSS
Nikolai West, Jochen Deuse
2024 J jnl
A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing.
J. Sched.
Frederik Ferid Ostermeier, Jochen Deuse
2024 J jnl
Case study on delivery time determination using a machine learning approach in small batch production companies.
J. Intell. Manuf.
Alexander Rokoss, Marius Syberg, Laura Tomidei, Christian Hülsing, Jochen Deuse, Matthias Schmidt
2024 J jnl
Flexible job shop scheduling with preventive maintenance consideration.
J. Intell. Manuf.
Michael Mario Wocker, Frederik Ferid Ostermeier, Tobias Wanninger, Ronny Zwinkau, Jochen Deuse
2024 — conf
Modular Data Analytics as a Tool for Citizen Data Scientists in Quality Management.
ICECET
Sebastian Pähler, Marius Syberg, Jochen Deuse
2024 — conf
Multi-volume Potential Fields for Effective Learning from Demonstration.
CASE
Victor Hernandez Moreno, Louis Fernandez, Marc G. Carmichael, Jochen Deuse
2024 J jnl
Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review.
Robotics Comput. Integr. Manuf.
Victor Hernandez Moreno, Steffen Jansing, Mikhail Polikarpov, Marc G. Carmichael, Jochen Deuse
2023 — conf
A Cost-Efficient Robotic Through-Hole Assembly System for Dual-Pin Component Insertion.
ICCMA
Mikhail Polikarpov, Yousuf Mehmood, Daniel Boiar, Lukas Schulte, Jochen Deuse
2023 J jnl
Creating lean value streams through proactive variability management.
Int. J. Prod. Res.
Ralph Richter, Marius Syberg, Jochen Deuse, Peter Willats, David Lenze
2023 J jnl
Data-driven approach for diagnostic analysis of dynamic bottlenecks in serial manufacturing systems.
CoRR
Nikolai West, Jörn Schwenken, Jochen Deuse
2023 A* conf
Guided Learning from Demonstration for Robust Transferability.
ICRA
Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse
2023 J jnl
Guided Learning from Demonstration for Robust Transferability.
CoRR
Fouad Sukkar, Victor Hernandez Moreno, Teresa A. Vidal-Calleja, Jochen Deuse
2023 J jnl
Obstacles and Opportunities for Learning from Demonstration in Practical Industrial Assembly: A Systematic Literature Review.
CoRR
Victor Hernandez Moreno, Steffen Jansing, Mikhail Polikarpov, Marc G. Carmichael, Jochen Deuse
2023 J jnl
Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language.
J. Softw.
Christine Rese, Nikolai West, Mathias Gebler, Sven Krzoska, Philipp Schlunder, Jochen Deuse
2023 — conf
Towards Smart Manufacturing using Reinforcement Learning in a Sparse-Rewarded Environment for Through-Hole Technology.
GCCE
Kuntoro Adi Nugroho, Muhamad Amirul Haq, Chia-Ko Wang, Shanq-Jang Ruan, Mikhail Polikarpov, David Wagstyl, Jochen Deuse
2022 J jnl
Adaptive similarity search for the retrieval of rare events from large time series databases.
Adv. Eng. Informatics
Thomas Schlegl, Stefan Schlegl, Domenico Tomaselli, Nikolai West, Jochen Deuse
2022 C conf
Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants.
ETFA
Mikhail Polikarpov, Georgii Emelianov, Fabian Hübner, Aqib Farooq, Rekha Prasad, Jochen Deuse, Jochen Schiemann
2022 C conf
Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines.
IEA/AIE
Nikolai West, Jörn Schwenken, Jochen Deuse
2022 — conf
Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs.
SEFM Workshops
Daniel Boiar, Nils Killich, Lukas Schulte, Victor Hernandez Moreno, Jochen Deuse, Thomas Liebig
2022 — ch.
Quality Assurance in Interlinked Manufacturing Processes.
Mach. Learn. under Resour. Constraints Vol. 3 (3)
Jochen Deuse, Katharina Morik, Amal Saadallah, Jan Büscher, Thorben Panusch
2021 — conf
Applying Packing Problems to Optimize Throughput Time and Human Ergonomics in Project Shops.
AHFE (16)
Thomas Henke, Jochen Deuse
2021 — conf
Managing Variability in Production.
APMS (1)
Ralph Richter, Jochen Deuse, Peter Willats, Marius Syberg, David Lenze
2021 — conf
Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data.
IEEE BigData
Thomas Schlegl, Stefan Schlegl, Amélie Sciberras, Nikolai West, Jochen Deuse
2021 — conf
Reduction of Human Effort in Technical Cleanliness Inspection Through Advanced Image Processing Approaches.
AHFE (16)
Thorben Panusch, Roman Möhle, Ronny Zwinkau, Jochen Deuse
2021 Misc conf
Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science.
IRI
Nikolai West, Jonas Gries, Carina Brockmeier, Jens Christian Göbel, Jochen Deuse
2020 J jnl
A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics.
Int. J. Prod. Res.
Norman Roth, Jochen Deuse, Hubert Biedermann
2020 — conf
Conception of a Reference Architecture for Machine Learning in the Process Industry.
IEEE BigData
René Wöstmann, Philipp Schlunder, Fabian Temme, Ralf Klinkenberg, Josef Kimberger, Andrea Spichtinger, Markus Goldhacker, Jochen Deuse
2020 — conf
Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty.
AHFE (7)
Lukas Schulte, Jacqueline Schmitt, Florian Meierhofer, Jochen Deuse
2020 J jnl
Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing.
Adv. Eng. Informatics
Jacqueline Schmitt, Jochen Bönig, Thorbjörn Borggräfe, Gunter Beitinger, Jochen Deuse
2019 — conf
Automatic Generation of Methods-Time Measurement Analyses for Assembly Tasks from Motion Capture Data Using Convolutional Neuronal Networks - A Proof of Concept.
AHFE (8)
Jochen Deuse, Lukas Stankiewicz, Ronny Zwinkau, Frank Weichert
2019 — conf
Automatic Particle Classification Through Deep Learning Approaches for Increasing Productivity in the Technical Cleanliness Laboratory.
AHFE (8)
Ronny Zwinkau, Simon Frentrup, Roman Möhle, Jochen Deuse
2019 C conf
Dynamic digital twin for predictive maintenance in flexible production systems.
IECON
André Barthelmey, Eunseo Lee, Ramy Hana, Jochen Deuse
2019 — conf
Practical Framework for Advanced Quality-based Process Control in Interlinked Manufacturing Processes.
IEEM
Jacqueline Schmitt, Florian Hahn, Jochen Deuse
2019 — conf
The Power of Six: Relation Between Time and Money in Manufacturing for Segments of the Value Stream.
ELEC
Christoph Roser, Bernd Langer, Jochen Deuse
2018 — conf
Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning.
IEEE BigData
Patrick Straus, Markus Schmitz, René Wöstmann, Jochen Deuse
2018 — conf
Similarity-search and Prediction Based Process Parameter Adaptation for Quality Improvement in Interlinked Manufacturing Processes.
IEEM
Jacqueline Schmitt, Jochen Deuse
2017 — conf
Bottleneck Prediction Using the Active Period Method in Combination with Buffer Inventories.
APMS (2)
Christoph Roser, Kai Lorentzen, David Lenze, Jochen Deuse, Ferdinand Klenner, Ralph Richter, Jacqueline Schmitt, Peter Willats
2016 — conf
Praxisnahes Lehrkonzept zum Aufbau von zeitwirtschaftlicher Kompetenz mit IT-Systemen von dmc-ortim und SAP.
MKWI
Fabian Nöhring, Matthias Krebs, Frank Pöschel, Jochen Deuse
2016 J jnl
Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten.
Autom.
Mario Wiegand, Marco Stolpe, Jochen Deuse, Katharina Morik
2016 J jnl
Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen.
Autom.
Ferdinand Klenner, David Lenze, Samuel Schwarzer, Jochen Deuse, Tilman Friedrich
2016 C conf
Task planning for human robot interactive processes.
ETFA
Nils Wantia, Menno Esen, Andre Hengstebeck, Frank Heinze, Jürgen Rossmann, Jochen Deuse, Bernd Kuhlenkötter
2015 J jnl
Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk.
Logist. Res.
Christoph Roser, Kai Lorentzen, Jochen Deuse
2014 — conf
Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes.
CE
Regina Wallis, Josip Stjepandic, Stefan Rulhoff, Frank Stromberger, Jochen Deuse
2013 J jnl
Multi-objective optimization of facility planning for energy intensive companies.
J. Intell. Manuf.
Lei Yang, Jochen Deuse, Pingyu Jiang
2013 — conf
Renaissance of Group Technology: Reducing Variability to Match Lean Production Prerequisites.
MIM
Jochen Deuse, Benedikt Konrad, Fabian Bohnen
2013 — conf
Systematic and Continuous Improvement of Value Streams.
MIM
Peter Kuhlang, Sabine Hempen, Thomas Edtmayr, Jochen Deuse, Wilfried Sihn
2012 C conf
The Industrial Engineering Laboratory.
EDUCON
Marlies Steffen, Dominik May, Jochen Deuse
2011 — conf
Process and Human Safety in Human-Robot-Interaction - A Hybrid Assistance System for Welding Applications.
ICIRA (1)
Carsten Thomas, Felix Busch, Bernd Kuhlenkötter, Jochen Deuse
2010 — conf
Approach to reduce costs in a warehouse with simultaneous increase of the system's flexibility.
SOLI
Philipp Scholl, Jochen Deuse
2006 Misc conf
Pull production cycle-time under varying product mixes.
WSC
Chakkaphan Athapornmongkon, Jochen Deuse, Chee Yew Wong