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A review of the applications of multi-agent reinforcement learning in smart factories

Frontiers in robotics and AI, 2022-12, Vol.9, p.1027340-1027340

2022

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Reusing OPC UA information models in the Asset Administration Shell

2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 2023, p.1-6

2023

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Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control

Journal of Manufacturing and Materials Processing, 2023-04, Vol.7 (2), p.78

2023

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The Dresden Model of Adaptability: A Holistic Approach to Human-Centeredness, Resilience, Sustainability, and the Impact on the Sustainable Development Goals in the Era of Industry 5.0

Digital, 2024-08, Vol.4 (3), p.726-739

2024

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A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector

Logistics, 2022-06, Vol.6 (2), p.35

2022

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Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing complexity: Case study on the synthesis of an industrial IoT Test Bed

Journal of manufacturing systems, 2024-12, Vol.77, p.525-557

2024

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An end to end workflow for synthetic data generation for robust object detection

2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 2023, p.1-7

2023

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A case study on the use of open source hardware in mechanical engineering

Procedia CIRP, 2024, Vol.128, p.680-685

2024

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An architecture for an automatic integration of IO-Link sensors into a system of systems

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, p.1-6

2021

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How to make energy flexibility business models work - the case for integration into existing ERP systems

2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022, p.1-4

2022

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Adaptive Management Shell for Mapping the Process Capability of Manufacturing Components: A Systematic Mapping Study

2020 IEEE 18th International Conference on Industrial Informatics (INDIN), 2020, Vol.1, p.7-14

2020

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A Systematic Mapping Study on Blockchain Technology for Digital Protection of Communication in Manufacturing

2020 IEEE 18th International Conference on Industrial Informatics (INDIN), 2020, Vol.1, p.275-282

2020

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Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems

Machine Learning, Optimization, and Data Science, 2024, Vol.14506, p.237-254

2024

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Micro Service based Sensor Integration Efficiency and Feasibility in the Semiconductor Industry

Infocommunications journal, 2022-09, Vol.14 (3), p.79-85

2022

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Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production

Journal of machine engineering, 2024-06, Vol.24 (2), p.18-33

2024

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Cognitive Production Systems: A Mapping Study

2020 IEEE 18th International Conference on Industrial Informatics (INDIN), 2020, Vol.1, p.15-22

2020

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Open Source Hardware in Manufacturing – Opportunities and Challenges

Production Processes and Product Evolution in the Age of Disruption, 2023, p.709-716

2023

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Managing Manufacturing Assets with End-Users in Mind

Advances in Information and Communication, 2021, p.968-986

2021

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Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines

Evolutionary Computation in Combinatorial Optimization, 2006, p.209-221

2006

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A Software Platform for Use Case Driven Human-Friendly Factory Interaction Using Domain-Specific Assets

Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, 2020, Vol.1290, p.1032-1043

2020

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Asset Administration Shell: Domain Specific Language Approach to Integrate Heterogeneous Device Endpoints

Proceedings of the Future Technologies Conference (FTC) 2020, Volume 3, 2020, Vol.1290, p.1044-1052

2020

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Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse

2023 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 2023, p.1-6

2023

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Generic Control Loop Model for Fluctuation Analysis in Production Systems

2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2021, p.000165-000170

2021

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Event-Based Data Acquisition for Production Process Analyses: A Systematic Mapping Study

2021 13th International Conference on Computer and Automation Engineering (ICCAE), 2021, p.105-110

2021

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RELIABLE COMMUNICATION NETWORK DESIGN WITH EVOLUTIONARY ALGORITHMS

International journal of computational intelligence and applications, 2005-06, Vol.5 (2), p.251-266

2005

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A review of the applications of multi-agent reinforcement learning in smart factories

Reusing OPC UA information models in the Asset Administration Shell

Systematic Approach for Investigating Temporal Variability in Production Systems to Improve Production Planning and Control

The Dresden Model of Adaptability: A Holistic Approach to Human-Centeredness, Resilience, Sustainability, and the Impact on the Sustainable Development Goals in the Era of Industry 5.0

A Systematic Mapping Study on Machine Learning Techniques Applied for Condition Monitoring and Predictive Maintenance in the Manufacturing Sector

Study on the application of single-agent and multi-agent reinforcement learning to dynamic scheduling in manufacturing environments with growing complexity: Case study on the synthesis of an industrial IoT Test Bed

An end to end workflow for synthetic data generation for robust object detection

A case study on the use of open source hardware in mechanical engineering

An architecture for an automatic integration of IO-Link sensors into a system of systems

How to make energy flexibility business models work - the case for integration into existing ERP systems

Adaptive Management Shell for Mapping the Process Capability of Manufacturing Components: A Systematic Mapping Study

A Systematic Mapping Study on Blockchain Technology for Digital Protection of Communication in Manufacturing

Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems

Micro Service based Sensor Integration Efficiency and Feasibility in the Semiconductor Industry

Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production

Cognitive Production Systems: A Mapping Study

Open Source Hardware in Manufacturing – Opportunities and Challenges

Managing Manufacturing Assets with End-Users in Mind

Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines

A Software Platform for Use Case Driven Human-Friendly Factory Interaction Using Domain-Specific Assets

Asset Administration Shell: Domain Specific Language Approach to Integrate Heterogeneous Device Endpoints

Application of Reinforcement Learning to UR10 Positioning for Prioritized Multi-Step Inspection in NVIDIA Omniverse

Generic Control Loop Model for Fluctuation Analysis in Production Systems

Event-Based Data Acquisition for Production Process Analyses: A Systematic Mapping Study

RELIABLE COMMUNICATION NETWORK DESIGN WITH EVOLUTIONARY ALGORITHMS

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