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Fabrikplanung: Handbuch Produktion und Management 4

2nd Aufl 2021st edition, 2021

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Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production

Scientific reports, 2024-04, Vol.14 (1), p.8019-8019, Article 8019

2024

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A clustering approach for topic filtering within systematic literature reviews

MethodsX, 2020-01, Vol.7, p.100831-100831, Article 100831

2020

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Kein Wettrennen

Forschung & Lehre (Bonn), 2019-03 (3), Article 8

Burggräf, Peter

2019

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A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry

Supply Chain Analytics, 2023-03, Vol.1, p.100003, Article 100003

2023

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Additive Surface Graining in Prototype Tooling for Injection Molding

Journal of Manufacturing and Materials Processing, 2022-06, Vol.6 (3), p.54

2022

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Application of stochastic risk simulation to increase depth of production planning

International Journal of Naval Architecture and Ocean Engineering, 2023, 15(0), , pp.1-9

2023

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Data on the current state of problem solving and improvement during physical product development within complex (manufacturing) systems

Data in brief, 2019-04, Vol.23, p.103851-103851, Article 103851

2019

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Digital press shops: Data of an online survey among press shop experts

Data in brief, 2021-04, Vol.35, p.106880-106880, Article 106880

2021

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Survey based dataset on automation decisions for assembly systems in Germany

Data in brief, 2020-08, Vol.31, p.105782-105782, Article 105782

2020

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Data on the current state of modular systems in a highly dynamic environment: Empirical analyses in the manufacturing industry and automotive industry of Germany

Data in brief, 2019-12, Vol.27, p.104552-104552, Article 104552

2019

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Einfluss des Mega-Castings auf die Automobilzulieferer

maschinenbau, 2022-10, Vol.2 (5), p.26-29

2022

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Urban production: State of the art and future trends for urban factories

CIRP annals, 2020, Vol.69 (2), p.764-787

2020

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WITHDRAWN: Knowledge-Based Problem Solving in Physical Product Development – A Methodological Review

Expert systems with applications, 2021-02, p.114725, Article 114725

2021

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Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment

Journal of intelligent manufacturing, 2022-10, Vol.33 (7), p.2157-2165

2022

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gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems

Operations Research Forum, 2024-03, Vol.5 (1), p.20, Article 20

2024

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Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes

International journal of production research, 2024-05, Vol.62 (9), p.3230-3250

2024

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Towards Digital-Twin-Driven Factory Planning – A Systematic Review

Procedia CIRP, 2024, Vol.126, p.248-253

2024

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Paving the way for automated factory planning – applying rule-based expert systems to capacity planning

Procedia CIRP, 2024, Vol.126, p.254-259

2024

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Human trust in otherware - a systematic literature review bringing all antecedents together

Ergonomics, 2023-07, Vol.66 (7), p.976-998

2023

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Approaches for the Prediction of Lead Times in an Engineer to Order Environment-A Systematic Review

IEEE access, 2020, Vol.8, p.142434-142445

2020

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Trust in artificial intelligence within production management - an exploration of antecedents

Ergonomics, 2021-10, Vol.64 (10), p.1333-1350

2021

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Deep reinforcement learning for layout planning – An MDP-based approach for the facility layout problem

Manufacturing letters, 2023-11, Vol.38, p.40-43

2023

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Anomaly detection as vision-based obstacle detection for vehicle automation in industrial environment

Frontiers in Manufacturing Technology, 2022-08, Vol.2

2022

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Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems

IEEE access, 2021, Vol.9, p.22569-22586

2021

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Fabrikplanung: Handbuch Produktion und Management 4

Optimizing industrial transport with a connected automated vehicle demonstrator for assembly systems and end-of-line production

A clustering approach for topic filtering within systematic literature reviews

Kein Wettrennen

A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry

Additive Surface Graining in Prototype Tooling for Injection Molding

Application of stochastic risk simulation to increase depth of production planning

Data on the current state of problem solving and improvement during physical product development within complex (manufacturing) systems

Digital press shops: Data of an online survey among press shop experts

Survey based dataset on automation decisions for assembly systems in Germany

Data on the current state of modular systems in a highly dynamic environment: Empirical analyses in the manufacturing industry and automotive industry of Germany

Einfluss des Mega-Castings auf die Automobilzulieferer

Urban production: State of the art and future trends for urban factories

WITHDRAWN: Knowledge-Based Problem Solving in Physical Product Development – A Methodological Review

Testing the reliability of monocular obstacle detection methods in a simulated 3D factory environment

gym-flp: A Python Package for Training Reinforcement Learning Algorithms on Facility Layout Problems

Deciding on when to change - a benchmark of metaheuristic algorithms for timing engineering changes

Towards Digital-Twin-Driven Factory Planning – A Systematic Review

Paving the way for automated factory planning – applying rule-based expert systems to capacity planning

Human trust in otherware - a systematic literature review bringing all antecedents together

Approaches for the Prediction of Lead Times in an Engineer to Order Environment-A Systematic Review

Trust in artificial intelligence within production management - an exploration of antecedents

Deep reinforcement learning for layout planning – An MDP-based approach for the facility layout problem

Anomaly detection as vision-based obstacle detection for vehicle automation in industrial environment

Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems

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