J. Deuse

发表

On the integration of manufacturing strategy: deconstructing Hoshin Kanri

Peter T. Gianiodis, L. Fredendall, M. Stevenson, 2019, Management Research Review.

A Planning Approach for In-plant Milk Run Processes to Optimize Material Provision in Assembly Systems

J. Deuse, M. Droste, 2012 .

Mathematical modelling of the quality-based order assignment problem

Katharina Morik, Jacqueline Schmitt, Jochen Deuse, 2018 .

Socio-Technical Capability Assessment to Support Implementation of Cyber-Physical Production Systems in Line with People and Organization

Jochen Deuse, Tobias Wienzek, Fabian Noehring, 2018, Advances in Intelligent Systems and Computing.

A framework for System Excellence assessment of production systems, based on lean thinking, business excellence, and factory physics

Norman G. Roth, J. Deuse, Hubert Biedermann, 2019, Int. J. Prod. Res..

T. Schlegl, J. Deuse, Stefan Schlegl, 2022, Adv. Eng. Informatics.

Experimental Learning in Industrial Management

Jens Ove Riis, Jochen Deuse, John Johansen, 2012 .

IMPROVING PROCESSES ON THE BASIS OF A SHORT CYCLIC IMPROVMENT ROUTINE, VALUE STREAM MAPPING AND A PROCESS MANAGEMENT SYSTEM

W. Sihn, J. Deuse, P. Kuhlang, 2013 .

Margin-based Greedy Shapelet Search for Robust Time Series Classification of Imbalanced Data

T. Schlegl, J. Deuse, Stefan Schlegl, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Automated search of process control limits for fault detection in time series data

T. Schlegl, J. Deuse, Stefan Schlegl, 2022, Journal of Process Control.

A strategic standpoint on maintenance taxonomy

Jochen Deuse, Khashayar Khazraei, J. Deuse, 2011 .

Pushing the Limits of Lean Thinking–Design and Management of Complex Production Systems

B. Konrad, Thomas Maschek, J. Deuse, 2018 .

Production Flow Analysis in the Era of Industry 4.0 : How Digital Technologies can Support Decision-Making in the Factory of the Future

J. Deuse, N. Sick, Laura Tomidei, 2022, 2022 Portland International Conference on Management of Engineering and Technology (PICMET).

Design for Additive Manufacturing (DfAM): Analysing and Mapping Research Trends and Industry Needs

J. Deuse, L. Clemon, M. Guertler, 2022, 2022 Portland International Conference on Management of Engineering and Technology (PICMET).

Unsupervised Learning for Opportunistic Maintenance Optimization in Flexible Manufacturing Systems

Christian Feuersänger, Jochen Deuse, Alexander Lindworsky, 2020 .

A Holistic Methodology for Successive Bottleneck Analysis in Dynamic Value Streams of Manufacturing Companies

J. Deuse, Nikolai West, Marius Syberg, 2021, Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems.

Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing

Jochen Deuse, Jacqueline Schmitt, Jochen Bönig, 2020, Adv. Eng. Informatics.

Dealing with complex and ill-structured problems: results of a Plan-Do-Check-Act experiment in a business engineering semester

Jens Ove Riis, Jochen Deuse, John Johansen, 2017 .

Concept of Energy-Efficient Job Sequencing for Heat Treatment Processes

Jochen Deuse, Daniel Bücker, J. Deuse, 2012 .

Rediscovering scientific management. The evolution from industrial engineering to industrial data science

J. Deuse, Nikolai West, Marius Syberg, 2022, International Journal of Production Management and Engineering.

Intuitive Work Assistance by Reciprocal Human-robot Interaction in the Subject Area of Direct Human-robot Collaboration☆

Jochen Deuse, Bernd Kuhlenkötter, Carsten Thomas, 2016 .

Systematic procedure for leveling of low volume and high mix production

Jochen Deuse, Matthias Buhl, Fabian Bohnen, 2013 .

Conception of a Reference Architecture for Machine Learning in the Process Industry

P. Schlunder, R. Klinkenberg, J. Deuse, 2020, 2020 IEEE International Conference on Big Data (Big Data).

Intelligent Utilization of Digital Manufacturing Data in Modern Product Emergence Processes

Jochen Deuse, Josip Stjepandic, Stefan Rulhoff, 2014, ISPE CE.

Development of a sociotechnical planning system for human-robot interaction in assembly systems focusing on small and medium-sized enterprises

Jochen Deuse, Marcus Kaiser, Bernd Kuhlenkötter, 2019, Procedia CIRP.

Energy efficiency at energy intensive factory - a facility planning approach

Jochen Deuse, J. Deuse, M. Droste, 2011, 2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management.

Assessment Methodology to Design an Ergonomic and Sustainable Order Picking System Using Motion Capturing Systems

Jochen Deuse, Kirsten Weisner, J. Deuse, 2014 .

Striving for Zero Defect Production: Intelligent Manufacturing Control Through Data Mining in Continuous Rolling Mill Processes

Jochen Deuse, Benedikt Konrad, Daniel Lieber, 2013 .

Leveling of low volume and high mix production based on a Group Technology approach

Jochen Deuse, Thomas Maschek, Fabian Bohnen, 2011 .

Multiple-attribute Decision Making for an Energy Efficient Facility Layout Design

Jochen Deuse, L. Yang, J. Deuse, 2012 .

Approach to reduce costs in a warehouse with simultaneous increase of the system's flexibility

J. Deuse, P. Scholl, J. Deuse, 2010, Proceedings of 2010 IEEE International Conference on Service Operations and Logistics, and Informatics.

The Industrial Engineering Laboratory

Dominik May, Jochen Deuse, Marlies Steffen, 2012, Proceedings of the 2012 IEEE Global Engineering Education Conference (EDUCON).

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, Frank Weichert, 2019, International Conference on Applied Human Factors and Ergonomics.

Industrial Data Science: Developing a Qualification Concept for Machine Learning in Industrial Production

Kristian Kersting, Jens Teubner, Claus Weihs, 2020 .

Scalable anomaly detection in manufacturing systems using an interpretable deep learning approach

T. Schlegl, J. Deuse, Stefan Schlegl, 2021, Procedia CIRP.

Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning

Katharina Morik, Jochen Deuse, Marco Stolpe, 2013 .

Feature extraction for time series classification using univariate descriptive statistics and dynamic time warping in a manufacturing environment

T. Schlegl, J. Deuse, Nikolai West, 2021, 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE).

Optimizing Inspection Process Severity by Machine Learning Under Label Uncertainty

Jacqueline Schmitt, Lukas Schulte, Florian Meierhofer, 2020, AHFE.

Technical Documentation as a Service – An Approach for Integrating Editorial and Engineering Processes of Machinery and Plant Engineers☆

Jochen Deuse, Bernd Kuhlenkötter, André Barthelmey, 2016 .

Cyber Physical Systems for Life Cycle Continuous Technical Documentation of Manufacturing Facilities

Jochen Deuse, Bernd Kuhlenkötter, André Barthelmey, 2014 .

Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning

Markus Schmitz, Patrick Straus, Rene Wostmann, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Guided Learning from Demonstration for Robust Transferability

J. Deuse, F. Sukkar, Teresa Vidal-Calleja, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Bottleneck Prediction Using the Active Period Method in Combination with Buffer Inventories

Jochen Deuse, Christoph Roser, Jacqueline Schmitt, 2017, APMS.

Reliable shop floor bottleneck detection for flow lines through process and inventory observations: the bottleneck walk

Jochen Deuse, Christoph Roser, Kai Lorentzen, 2015, Logist. Res..

Explainable Predictive Quality Inspection using Deep Learning in Electronics Manufacturing

K. Morik, A. Saadallah, J. Deuse, 2022, Procedia CIRP.

Renaissance of Group Technology: Reducing Variability to Match Lean Production Prerequisites

Jochen Deuse, Benedikt Konrad, Fabian Bohnen, 2013, MIM.

Intelligent Utilisation of Digital Databases for Assembly Time Determination in Early Phases of Product Emergence

Jochen Deuse, Olga Erohin, Julian Schallow, 2012 .

Systematic combination of Lean Management with digitalization to improve production systems on the example of Jidoka 4.0

Fabian Nöhring, Uwe Dombrowski, Jochen Deuse, 2020, International Journal of Engineering Business Management.

Systematic improvement of value streams – fundamentals of value stream oriented process management

Jochen Deuse, Wilfried Sihn, Peter Kuhlang, 2013 .

Multiple-attribute decision-making approach for an energy-efficient facility layout design

Lei Yang, Pingyu Jiang, Jochen Deuse, 2012, The International Journal of Advanced Manufacturing Technology.

Reconfiguration Assistance for Cyber-Physical Production Systems

Jochen Deuse, André Barthelmey, André Hengstebeck, 2018 .

A Retrofit Approach for Predictive Maintenance

Jochen Deuse, André Barthelmey, René Wöstmann, 2019, Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter.

A Life Cycle Oriented Evaluation of Changeable Manufacturing and Assembly Systems

Jochen Deuse, Jochen Hartung, Barbara Baudzus, 2012 .

Morphology of time data management – systematic design of time data management processes as fundamental challenge in industrial engineering

Jochen Deuse, Olga Erohin, Wilfried Sihn, 2014 .

The Power of Six: Relation Between Time and Money in Manufacturing for Segments of the Value Stream

Jochen Deuse, Christoph Roser, Bernd Langer, 2019, ELEC.

Application Protocols for Standardising of Processes and Data in Digital Manufacturing

Jochen Deuse, Gunther Reinhart, Kai Magenheimer, 2012 .

A Customizable Digital Human Model for Assembly System Design

Jochen Deuse, Lukas Stankiewicz, Sascha Wischniewski, 2016 .

Multi-objective optimization of facility planning for energy intensive companies

Lei Yang, Pingyu Jiang, Jochen Deuse, 2013, J. Intell. Manuf..