Jochen Deuse

Orcid: 0000-0003-4066-4357

According to our database1, Jochen Deuse authored at least 47 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Case study on delivery time determination using a machine learning approach in small batch production companies.
J. Intell. Manuf., December, 2024

Obstacles and opportunities for learning from demonstration in practical industrial assembly: A systematic literature review.
Robotics Comput. Integr. Manuf., April, 2024

Flexible job shop scheduling with preventive maintenance consideration.
J. Intell. Manuf., April, 2024

A review and classification of scheduling objectives in unpaced flow shops for discrete manufacturing.
J. Sched., February, 2024

A Comparative Study of Machine Learning Approaches for Anomaly Detection in Industrial Screw Driving Data.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

Multi-volume Potential Fields for Effective Learning from Demonstration.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023
Creating lean value streams through proactive variability management.
Int. J. Prod. Res., August, 2023

Pipeline for the Automatic Extraction of Procedural Knowledge from Assembly Instructions into Controlled Natural Language.
J. Softw., February, 2023

Data-driven approach for diagnostic analysis of dynamic bottlenecks in serial manufacturing systems.
CoRR, 2023

Guided Learning from Demonstration for Robust Transferability.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

A Cost-Efficient Robotic Through-Hole Assembly System for Dual-Pin Component Insertion.
Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

Towards Smart Manufacturing using Reinforcement Learning in a Sparse-Rewarded Environment for Through-Hole Technology.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2022
Adaptive similarity search for the retrieval of rare events from large time series databases.
Adv. Eng. Informatics, 2022

Forecasting Algae Growth in Photo-Bioreactors Using Attention LSTMs.
Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022

Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

Automated Multi-sensory Data Collection System for Continuous Monitoring of Refrigerating Appliances Recycling Plants.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

Quality Assurance in Interlinked Manufacturing Processes.
Proceedings of the Machine Learning under Resource Constraints - Volume 3: Applications, 2022

2021
Towards integrated Data Analysis Quality: Criteria for the application of Industrial Data Science.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Managing Variability in Production.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Reduction of Human Effort in Technical Cleanliness Inspection Through Advanced Image Processing Approaches.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2021

Applying Packing Problems to Optimize Throughput Time and Human Ergonomics in Project Shops.
Proceedings of the Advances in Manufacturing, Production Management and Process Control, 2021

2020
A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics.
Int. J. Prod. Res., 2020

Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing.
Adv. Eng. Informatics, 2020

Conception of a Reference Architecture for Machine Learning in the Process Industry.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty.
Proceedings of the Advances in Human Factors and Systems Interaction, 2020

2019
Practical Framework for Advanced Quality-based Process Control in Interlinked Manufacturing Processes.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

Dynamic digital twin for predictive maintenance in flexible production systems.
Proceedings of the IECON 2019, 2019

The Power of Six: Relation Between Time and Money in Manufacturing for Segments of the Value Stream.
Proceedings of the 6th European Lean Educator Conference, 2019

Automatic Particle Classification Through Deep Learning Approaches for Increasing Productivity in the Technical Cleanliness Laboratory.
Proceedings of the Advances in Human Factors and Systems Interaction, 2019

Automatic Generation of Methods-Time Measurement Analyses for Assembly Tasks from Motion Capture Data Using Convolutional Neuronal Networks - A Proof of Concept.
Proceedings of the Advances in Human Factors and Systems Interaction, 2019

2018
Similarity-search and Prediction Based Process Parameter Adaptation for Quality Improvement in Interlinked Manufacturing Processes.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Bottleneck Prediction Using the Active Period Method in Combination with Buffer Inventories.
Proceedings of the Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing, 2017

2016
Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten.
Autom., 2016

Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen.
Autom., 2016

Praxisnahes Lehrkonzept zum Aufbau von zeitwirtschaftlicher Kompetenz mit IT-Systemen von dmc-ortim und SAP.
Proceedings of the Multikonferenz Wirtschaftsinformatik, 2016

Task planning for human robot interactive processes.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

2015
Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk.
Logist. Res., 2015

2014
Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes.
Proceedings of the Moving Integrated Product Development to Service Clouds in the Global Economy, 2014

2013
Multi-objective optimization of facility planning for energy intensive companies.
J. Intell. Manuf., 2013

Systematic and Continuous Improvement of Value Streams.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Renaissance of Group Technology: Reducing Variability to Match Lean Production Prerequisites.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

2012
The Industrial Engineering Laboratory.
Proceedings of the IEEE Global Engineering Education Conference, 2012

2011
Process and Human Safety in Human-Robot-Interaction - A Hybrid Assistance System for Welding Applications.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
Approach to reduce costs in a warehouse with simultaneous increase of the system's flexibility.
Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, 2010

2006
Pull production cycle-time under varying product mixes.
Proceedings of the Winter Simulation Conference WSC 2006, 2006


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