Improving Production Efficiency with a Digital Twin Based on Anomaly Detection
Industry 4.0, cyber-physical systems, and digital twins are generating ever more data. This opens new opportunities for companies, as they can monitor development and production processes, improve their products, and offer additional services. However, companies are often overwhelmed by Big Data, as...
Main Authors: | Jakob Trauer, Simon Pfingstl, Markus Finsterer, Markus Zimmermann |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/13/18/10155 |
Similar Items
-
Investigations Concerning the Residence Time Distribution of Twin-Screw-Extrusion Processes as Indicator for Inherent Mixing
by: Jens Wesholowski, et al.
Published: (2018-10-01) -
PEACH POMACE PROCESSING USING TWIN SCREW EXTRUSION
by: Preetam Sarkar, et al.
Published: (2014-02-01) -
Analytical and Numerical Models of Thermoplastics: A Review Aimed to Pellet Extrusion-Based Additive Manufacturing
by: Alessio Pricci, et al.
Published: (2021-09-01) -
Data Reduction of Digital Twin Simulation Experiments Using Different Optimisation Methods
by: Pavel Raska, et al.
Published: (2021-08-01) -
Scrotoschisis: A rare congenital urologic anomaly
by: Aliyu Umar Farinyaro, et al.
Published: (2015-02-01)