Development and analysis of digital twins of production systems
Author:
Affiliation:
1. wbk Institute of Production Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
2. Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA
Funder
Bosch Powertrain Solutions
Karlsruhe House of Young Scientists
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2242525
Reference42 articles.
1. Andreasson, Hannes, John Weman, Daniel Nafors, Jonatan Berglund, Bjorn Johansson, Karl Lihnell, and Thomas Lydhig. 2019. “Utilizing Discrete Event Simulation to Support Conceptual Development of Production Systems.” In 2019 Winter Simulation Conference (WSC). IEEE. http://doi.org/10.1109/wsc40007.2019.9004943.
2. A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications
3. Bergmann, Sören. 2013. “Automatische Generierung adaptiver Modelle zur Simulation von Produktionssystemen.” Dissertation, TU Ilmenau.
4. Bergmann, Sören, Niclas Feldkamp, and Steffen Straßburger. 2015. “Approximation of Dispatching Rules for Manufacturing Simulation Using Data Mining Methods.” In 2015 Winter Simulation Conference WSC, 2329–2340. Huntington Beach, CA: IEEE.
5. Emulation of control strategies through machine learning in manufacturing simulations
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