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Designing an adaptive production control system using reinforcement learning

Journal of intelligent manufacturing, 2021-03, Vol.32 (3), p.855-876

2021

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Towards practicality: Navigating challenges in designing predictive-reactive scheduling

Procedia CIRP, 2024, Vol.122, p.701-706

2024

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Reinforcement learning for adaptive order dispatching in the semiconductor industry

CIRP annals, 2018, Vol.67 (1), p.511-514

2018

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Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0

Journal of manufacturing systems, 2021-01, Vol.58, p.412-430

2021

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The PDZ domains of mLin-10 regulate its trans-Golgi network targeting and the surface expression of AMPA receptors

Neuropharmacology, 2003-11, Vol.45 (6), p.837-848

2003

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Robust predictive–reactive scheduling and its effect on machine disturbance mitigation

CIRP annals, 2020, Vol.69 (1), p.401-404

2020

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Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

Journal of intelligent manufacturing, 2022-02, Vol.33 (2), p.575-591

2022

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Self-adjusting multi-objective scheduling based on Monte Carlo Tree Search for matrix production assembly systems

CIRP annals, 2021, Vol.70 (1), p.381-384

2021

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Design, Implementation and Evaluation of Reinforcement Learning for an Adaptive Order Dispatching in Job Shop Manufacturing Systems

Procedia CIRP, 2019, Vol.81, p.234-239

2019

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Selecting key performance indicators for production with a linear programming approach

International journal of production research, 2017-10, Vol.55 (19), p.5537-5549

2017

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Changeability and flexibility of assembly line balancing as a multi-objective optimization problem

Journal of manufacturing systems, 2019-10, Vol.53, p.150-158

2019

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Deep Learning for Automated Product Design

Procedia CIRP, 2020, Vol.91, p.3-8

2020

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Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage

Automatisierungstechnik : AT, 2022-06, Vol.70 (6), p.504-516

2022

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PDZ domain of neuronal nitric oxide synthase recognizes novel C-terminal peptide sequences

Nature biotechnology, 1997-04, Vol.15 (4), p.336-342

1997

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Development of a training concept for leadership 4.0 in production environments

Procedia manufacturing, 2019, Vol.31, p.38-44

2019

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Decentralized Multi-Agent Production Control through Economic Model Bidding for Matrix Production Systems

Procedia CIRP, 2021, Vol.96, p.3-8

2021

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Autonomous planning tool for changeable assembly systems

Procedia CIRP, 2020, Vol.88, p.104-109

2020

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An Approach towards Improving the Robustness of Production Systems

Advanced materials research, 2014-09, Vol.1018, p.461-468

2014

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Product Generation Module: Automated Production Planning for optimized workload and increased efficiency in Matrix Production Systems

Procedia CIRP, 2021, Vol.96, p.45-50

2021

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Current role of the digital transformation for improved materials and material utilization

Procedia CIRP, 2022, Vol.115, p.60-65

2022

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Planning for changeability and flexibility using a frequency perspective

CIRP annals, 2019, Vol.68 (1), p.427-430

2019

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Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization

Procedia CIRP, 2019, Vol.81, p.369-374

2019

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Fluid Automation — A Definition and an Application in Remanufacturing Production Systems

Procedia CIRP, 2021, Vol.97, p.508-513

2021

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Towards Ontology-based Autonomous Intralogistics for Agile Remanufacturing Production Systems

2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), 2021, p.01-07

2021

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Graph-based prediction of missing KPIs through optimization and random forests for KPI systems

Production engineering (Berlin, Germany), 2023-04, Vol.17 (2), p.211-222

2023

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Designing an adaptive production control system using reinforcement learning

Towards practicality: Navigating challenges in designing predictive-reactive scheduling

Reinforcement learning for adaptive order dispatching in the semiconductor industry

Decision support for the implementation of Industry 4.0 methods: Toolbox, Assessment and Implementation Sequences for Industry 4.0

The PDZ domains of mLin-10 regulate its trans-Golgi network targeting and the surface expression of AMPA receptors

Robust predictive–reactive scheduling and its effect on machine disturbance mitigation

Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning

Self-adjusting multi-objective scheduling based on Monte Carlo Tree Search for matrix production assembly systems

Design, Implementation and Evaluation of Reinforcement Learning for an Adaptive Order Dispatching in Job Shop Manufacturing Systems

Selecting key performance indicators for production with a linear programming approach

Changeability and flexibility of assembly line balancing as a multi-objective optimization problem

Deep Learning for Automated Product Design

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage

PDZ domain of neuronal nitric oxide synthase recognizes novel C-terminal peptide sequences

Development of a training concept for leadership 4.0 in production environments

Decentralized Multi-Agent Production Control through Economic Model Bidding for Matrix Production Systems

Autonomous planning tool for changeable assembly systems

An Approach towards Improving the Robustness of Production Systems

Product Generation Module: Automated Production Planning for optimized workload and increased efficiency in Matrix Production Systems

Current role of the digital transformation for improved materials and material utilization

Planning for changeability and flexibility using a frequency perspective

Data Analytics for Manufacturing Systems – A Data-Driven Approach for Process Optimization

Fluid Automation — A Definition and an Application in Remanufacturing Production Systems

Towards Ontology-based Autonomous Intralogistics for Agile Remanufacturing Production Systems

Graph-based prediction of missing KPIs through optimization and random forests for KPI systems

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