Production Engineering 3/2020

Open Access 08.02.2020 | Production Management

Process model for the successful implementation and demonstration of SME-based industry 4.0 showcases in global production networks

S. Peukert, S. Treber, S. Balz, B. Haefner, G. Lanza

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02.03.2020 | Production Management

Quantifying disturbance risks on the process time for a robust, synchronized individual production

Timo Heutmann, Alexander W. Tils, Robert H. Schmitt

Open Access 03.04.2020 | Production Management

Methodology for the identification of alternative manufacturing changes for safety–critical components

Thomas Bergs, Lennard Hermann, Jan Rey, Sebastian Barth

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Open Access 05.04.2020 | Production Management

Optimization of delivery adherence based on capacity planning and bid pricing

B. Denkena, M.-A. Dittrich, S. Wilmsmeier, S. Stamm

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Open Access 07.06.2020 | Production Management

Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints

Thomas Altenmüller, Tillmann Stüker, Bernd Waschneck, Andreas Kuhnle, Gisela Lanza

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18.03.2020 | Production Process

Hardware in the loop simulation for product driven control of a cyber-physical manufacturing system

B. Mihoubi, B. Bouzouia, K. Tebani, M. Gaham

Open Access 30.04.2020 | Production Process

Analytic roughness prediction by deep rolling

B. Denkena, A. Abrão, A. Krödel, K. Meyer

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Open Access 29.05.2020 | Production Process

A comparative analysis of ceramic and cemented carbide end mills

Klaus Dröder, Bernhard Karpuschewski, Eckart Uhlmann, Peter A. Arrabiyeh, Daniel Berger, Sarah Busemann, Jörg Hartig, Nadine Madanchi, Georg Mahlfeld, Christian Sommerfeld

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Open Access 03.06.2020 | Production Process

Data acquisition and control at the edge: a hardware/software-reconfigurable approach

F. Streit, S. Wituschek, M. Pschyklenk, A. Becher, M. Lechner, S. Wildermann, I. Pitz, M. Merklein, J. Teich

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05.06.2020 | Production Process

Prediction and optimization of machining results and parameters in drilling by using Bayesian networks

X. Wang, R. Eisseler, H.-C. Moehring

Open Access 19.03.2020 | Quality Assurance

Statistical approaches for semi-supervised anomaly detection in machining

B. Denkena, M.-A. Dittrich, H. Noske, M. Witt

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Open Access 23.04.2020 | Tooling

Process stability of a novel roughing-finishing end mill

B. Denkena, R. Grabowski, A. Krödel, L. Ellersiek

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Springer Professional

Production Engineering

Ausgabe 3/2020

Inhaltsverzeichnis (12 Artikel)

Process model for the successful implementation and demonstration of SME-based industry 4.0 showcases in global production networks

Quantifying disturbance risks on the process time for a robust, synchronized individual production

Methodology for the identification of alternative manufacturing changes for safety–critical components

Optimization of delivery adherence based on capacity planning and bid pricing

Reinforcement learning for an intelligent and autonomous production control of complex job-shops under time constraints

Hardware in the loop simulation for product driven control of a cyber-physical manufacturing system

Analytic roughness prediction by deep rolling

A comparative analysis of ceramic and cemented carbide end mills

Data acquisition and control at the edge: a hardware/software-reconfigurable approach

Prediction and optimization of machining results and parameters in drilling by using Bayesian networks

Statistical approaches for semi-supervised anomaly detection in machining

Process stability of a novel roughing-finishing end mill

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