Digital Twins for Decision Making in Complex Production and Logistic Enterprises

Digital Twins for Decision Making in Complex Production and Logistic Enterprises

Wolfgang Kuehn 

University of Wuppertal, Wuppertal, Germany

Page: 
260-271
|
DOI: 
https://doi.org/10.2495/DNE-V13-N3-260-271
Received: 
N/A
|
Accepted: 
N/A
|
Published: 
30 August 2018
| Citation

OPEN ACCESS

Abstract: 

The operation and optimization of complex production and logistic enterprises requires modern, data and simulation driven multi criteria decision approaches. Digital enterprise systems are complex systems, in terms of layout variability, control strategies, business processes and system parameter. all of these aspects are not independent and even due to the system dynamics the optimal solution may differ depending on the actual situation applying specific requirements. In order to improve operative decision making in production and logistic enterprises a digital twin concept can be applied. these digital twins are virtual clones of real systems or subsystems. with simulation and artificial intelligence technologies new opportunities for operative decision making are possible. Digital twins can cover the entire lifecycle of an asset or process by forming a closed-loop chain for smart, connected products, services and production and logistic processes, from design to operation, from deployment to continuous improvement.

Keywords: 

digital enterprise, digital twin, factory simulation, virtual model

1. Introduction
2. Complex Digital Enterprises
3. Digital Twin Concept
4. Enterprise Decision Making
5. Value of Digital Twins
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