Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126441 - 126441

Published: Jan. 1, 2025

Language: Английский

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Intelligente Energieoptimierung für nachhaltige Produktionssysteme

Zeitschrift für wirtschaftlichen Fabrikbetrieb, Journal Year: 2025, Volume and Issue: 120(1-2), P. 76 - 80

Published: Feb. 17, 2025

Abstract In der industriellen Produktion ist die Steigerung Energieeffizienz und damit verbundene Reduktion von CO₂-Emissionen eine zentrale Herausforderungen in Zeiten des Klimawandels. Besonders energieintensiven Industrien optimierte Energienutzung unerlässlich. Der Beitrag untersucht Strategien zur nachhaltigen wie Modellierung Simulation Energieverbräuchen Lastspitzenreduktion sowie dynamische Anpassung Produktionsphasen mithilfe maschinellen Lernens. Zudem werden Ansätze Auftragsplanung -verteilung beschrieben, durch Deep Reinforcement Learning optimiert werden, um Prozesse an erneuerbare Energien anzupassen. Digitale Zwillinge detaillierte Energieüberwachung helfen, Ineffizienzen frühzeitig zu erkennen korrigieren.

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Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning

Artificial Intelligence Review, Journal Year: 2025, Volume and Issue: 58(6)

Published: March 15, 2025

Language: Английский

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Harnessing heterogeneous graph neural networks for Dynamic Job-Shop Scheduling Problem solutions

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 111060 - 111060

Published: March 1, 2025

Language: Английский

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Optimization of Urban Mobility with IoT and Big Data: Technology for the Information and Knowledge Society in Industry 5.0

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 46 - 61

Published: Jan. 1, 2025

Language: Английский

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A deep reinforcement learning approach with graph attention network and multi-signal differential reward for dynamic hybrid flow shop scheduling problem

Journal of Manufacturing Systems, Journal Year: 2025, Volume and Issue: 80, P. 643 - 661

Published: April 14, 2025

Language: Английский

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Exploring the Adoption and Application of Transformer Models in Manufacturing Scheduling

Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 478 - 483

Published: Jan. 1, 2025

Language: Английский

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A self-adaptive agent for flexible posture planning in robotic milling system

Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 75, P. 228 - 245

Published: July 2, 2024

Language: Английский

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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, Journal Year: 2024, Volume and Issue: 77, P. 525 - 557

Published: Oct. 19, 2024

Language: Английский

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Generative deep reinforcement learning method for dynamic parallel machines scheduling with adaptive maintenance activities

Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 77, P. 946 - 961

Published: Nov. 12, 2024

Language: Английский

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