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Digital twin for real-time data processing in logistics

Citation Link: https://doi.org/10.15480/882.2462
Publikationstyp
Conference Paper
Date Issued
2019-09-26
Sprache
English
Author(s)
Haße, Hendrik  
Li, Bin  
Weißenberg, Norbert  
Cirullies, Jan  
Otto, Boris  
TORE-DOI
10.15480/882.2462
TORE-URI
http://hdl.handle.net/11420/3717
Journal
Proceedings of the Hamburg International Conference of Logistics (HICL)  
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
27
Start Page
3
End Page
28
Citation
Hamburg International Conference of Logistics (HICL) 27: 3-28 (2019)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2019  
Publisher Link
https://www.epubli.de/shop/buch/Artificial-Intelligence-and-Digital-Transformation-in-Supply-Chain-Management-Christian-M-Ringle-Thorsten-Blecker-Wolfgang-Kersten-9783750249479/92095
Publisher
epubli
Purpose: Key performance indicators (KPIs) are an essential management tool. Realtime KPIs for production and logistics form the basis for flexible and adaptive production systems. These indicators unfold their full potential if they are seamlessly integrated into the “Digital Twin” of a company for data analytics.
Methodology: We apply the Design Science Research Methodology for Information Systems Research for deriving a digital twin architecture.
Findings: Research in the field of digital twins is at an early state, where the main objective is to find new applications for this technology. The majority of digital twin applications relate to the fields of manufacturing. Finally, it became apparent that existing architectures are too generic for usage in logistics.
Originality: The approach presented is an affordable solution for stakeholders to start with a digital transformation, based on standards and therefore highly technology-independent. The combined use of a lambda architecture with a semantic layer for flexible KPI definition is a special case.
Subjects
Digital Twin
Real-time
KPI
IoT
DDC Class
330: Wirtschaft
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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