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Matthias Klar
Matthias Klar
Lehrstuhl für Fertigungstechnik und Betriebsorganisation, TU Kaiserslautern
Verified email at mv.uni-kl.de - Homepage
Title
Cited by
Cited by
Year
An implementation of a reinforcement learning based algorithm for factory layout planning
M Klar, M Glatt, JC Aurich
Manufacturing Letters 30, 1-4, 2021
362021
Quantum Annealing based factory layout planning
M Klar, P Schworm, X Wu, M Glatt, JC Aurich
Manufacturing Letters 32, 59-62, 2022
262022
Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems
P Langlotz, M Klar, L Yi, M Hussong, FJP Sousa, JC Aurich
Procedia CIRP 112, 549-554, 2022
182022
Performance comparison of reinforcement learning and metaheuristics for factory layout planning
M Klar, M Glatt, JC Aurich
CIRP Journal of Manufacturing Science and Technology 45, 10-25, 2023
172023
Development of a 5G-enabled Digital Twin of a Machine Tool
J Mertes, M Glatt, C Schellenberger, M Klar, HD Schotten, JC Aurich
Procedia CIRP 107, 173-178, 2022
172022
Explainable generative design in manufacturing for reinforcement learning based factory layout planning
M Klar, P Ruediger, M Schuermann, GT Gören, M Glatt, B Ravani, ...
Journal of Manufacturing Systems 72, 74-92, 2024
112024
Scalability investigation of Double Deep Q Learning for factory layout planning
M Klar, M Hussong, P Ruediger-Flore, L Yi, M Glatt, JC Aurich
Procedia CIRP 107, 161-166, 2022
112022
Multi-objective Quantum Annealing approach for solving flexible job shop scheduling in manufacturing
P Schworm, X Wu, M Klar, M Glatt, JC Aurich
Journal of Manufacturing Systems 72, 142-153, 2024
102024
Resilience optimization in manufacturing systems using Quantum Annealing
P Schworm, X Wu, M Klar, J Gayer, M Glatt, JC Aurich
Manufacturing Letters 36, 13-17, 2023
82023
Automatisierte Wertstrommethode unter Nutzung von Reinforcement Learning: Ein Konzept zur Identifikation und Nutzung von Verbesserungspotentialen
P Langlotz, M Klar, M Glatt, JC Aurich
Zeitschrift für wirtschaftlichen Fabrikbetrieb 117 (6), 395-399, 2022
52022
A framework for automated multiobjective factory layout planning using reinforcement learning
M Klar, P Langlotz, JC Aurich
Procedia CIRP 112, 555-560, 2022
52022
Transferable multi-objective factory layout planning using simulation-based deep reinforcement learning
M Klar, P Schworm, X Wu, P Simon, M Glatt, B Ravani, JC Aurich
Journal of Manufacturing Systems 74, 487-511, 2024
4*2024
Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation
J Mertes, M Glatt, L Yi, M Klar, B Ravani, JC Aurich
International Research Training Group Conference on Physical Modeling for …, 2023
42023
A new gradient infill design method for material extrusion using density-based topology optimization and G-code extension
L Yi, J Mertes, M Klar, S Ghansiyal, C Fei, M Glatt, JC Aurich
Manufacturing Letters 37, 21-25, 2023
32023
Experimental evaluation of 5G performance based on a digital twin of a machine tool
J Mertes, C Schellenberger, L Yi, M Schmitz, M Glatt, M Klar, B Ravani, ...
CIRP Journal of Manufacturing Science and Technology 55, 141-152, 2024
22024
A Holistic Framework for Factory Planning Using Reinforcement Learning
M Klar, J Mertes, M Glatt, B Ravani, JC Aurich
International Research Training Group Conference on Physical Modeling for …, 2023
22023
A simulation-based factory layout planning approach using reinforcement learning
M Klar, M Glatt, B Ravani, JC Aurich
Procedia CIRP 120, 123-128, 2023
22023
Anomaly detection towards zero defect manufacturing using generative adversarial networks
S Ghansiyal, L Yi, PM Simon, M Klar, MM Müller, M Glatt, JC Aurich
Procedia CIRP 120, 1457-1462, 2023
22023
Intelligent Robotic Arm Path Planning (IRAP2) Framework to Improve Work Safety in Human-Robot Collaboration (HRC) Workspace Using Deep Deterministic …
X Wu, L Yi, M Klar, M Hussong, M Glatt, JC Aurich
International Conference on Flexible Automation and Intelligent …, 2022
22022
Simulation-based brownfield factory planning using deep reinforcement learning
M Klar, PM Simon, B Ravani, JC Aurich
Digital Engineering 3, 100026, 2024
12024
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