Session | ||
Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0.
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Presentations | ||
ID: 568
/ ISM-03: 1
Special track: Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0. Keywords: Production Scheduling, Supplier Risk, Digital Twin, Machine Learning. Digital Twin Framework for Machine-Learning Enabled Integrated Production and Logistics Processes 1North Carolina State University, United States of America; 2Siemens Corporation, United States of America ID: 302
/ ISM-03: 2
Special track: Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0. Keywords: demand forecasting, case study, automotive industry, ANN, Ada Boost, Gradient Boost Demand forecasting for an automotive company with neural network and ensemble classifiers approaches Department of Engineering and Architecture, University of Parma, Parma, Italy ID: 458
/ ISM-03: 3
Special track: Intelligent Systems for Manufacturing Planning and Control in the Industry 4.0. Keywords: Reliability, Maintenance, Human Failure, Text Mining, Machine Learning A Text Understandability Approach for Improving Reliability-Centered Maintenance in Manufacturing Enterprises Vienna University of Technology (TU Wien), Austria |