Simulation-ready digital twin for realtime management of logistics systems

被引：0
|
作者：
Korth, Benjamin [1 ]
Schwede, Christian [1 ]
Zajac, Markus [1 ]
机构：
[1] Fraunhofer Inst Mat Flow & Logist IML, Informat Logist & Decis Support Syst, Dortmund, Germany
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年
关键词：
digital twin; simulation; logistics; management;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Event-discrete simulation is a key method for decision support systems in planning and control of logistics systems. The ability to start a simulation based on the current situation of the system in real-time is central for these systems. In this paper, we present our system architecture that combines a real-time digital twin of logistics systems with simulation logic in a single (modularized) model. This combination not only reduces offline work creating and maintaining such a model and decision support system but also reduces runtime in this critical real-time use-case. The approach is demonstrated in two industrial use cases.
引用
收藏
页码：4194 / 4201
页数：8
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