Ausgabe 3/2020
Inhalt (12 Artikel)
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
Quantifying disturbance risks on the process time for a robust, synchronized individual production
Timo Heutmann, Alexander W. Tils, Robert H. Schmitt
Methodology for the identification of alternative manufacturing changes for safety–critical components
Thomas Bergs, Lennard Hermann, Jan Rey, Sebastian Barth
Optimization of delivery adherence based on capacity planning and bid pricing
B. Denkena, M.-A. Dittrich, S. Wilmsmeier, S. Stamm
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
Hardware in the loop simulation for product driven control of a cyber-physical manufacturing system
B. Mihoubi, B. Bouzouia, K. Tebani, M. Gaham
Analytic roughness prediction by deep rolling
B. Denkena, A. Abrão, A. Krödel, K. Meyer
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
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
Prediction and optimization of machining results and parameters in drilling by using Bayesian networks
X. Wang, R. Eisseler, H.-C. Moehring
Statistical approaches for semi-supervised anomaly detection in machining
B. Denkena, M.-A. Dittrich, H. Noske, M. Witt
Process stability of a novel roughing-finishing end mill
B. Denkena, R. Grabowski, A. Krödel, L. Ellersiek