Publisher DOI: 10.1016/j.procir.2020.05.033
Title: Digital twin : Revealing potentials of real-time autonomous decisions at a manufacturing company
Language: English
Authors: Feldt, Julia 
Kourouklis, Thanos 
Kontny, Henning 
Wagenitz, Axel 
Editor: D'Addona, Doriana M. 
Teti, Roberto 
Keywords: Digital twin; Real-time scheduling; Self-adaptive manufacturing
Issue Date: 2020
Publisher: Elsevier
Journal or Series Name: Procedia CIRP 
Volume: 88
Startpage: 185
Endpage: 190
Conference: Conference on Intelligent Computation in Manufacturing Engineering 2019 
Abstract: 
Complexity and constant increasing volumes of the data combined with daily disruptions such as changing production capacity and/or new customer orders lead to an expanding number of adjustments of production plans and to boosting stock levels. In order to resolve those issues for a manufacturing company, we created the assembly digital twin i.e. “real-time digital replica” with the ability to update production orders as the reaction to changes in relevant internal and external data. The over two years study demonstrates how a digital twin can be integrated into existing IT architecture and based on simulation modeling quantifies the potentials of the real-time decisions.
URI: http://hdl.handle.net/20.500.12738/9891
ISSN: 2212-8271
Review status: This version was peer reviewed (peer review)
Institute: Department Wirtschaft 
Fakultät Wirtschaft und Soziales 
Forschungs- und Transferzentrum Business Innovation Lab 
Type: Chapter/Article (Proceedings)
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