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
相关论文
共 13 条
  • [1] Bar-Yam Yaneer, 2002, Encyclopedia of Life Support Systems, P1
  • [2] Boschert S., 2016, MECHATRONIC FUTURES, P5974
  • [3] Chen M., 2014, MOBILE NETW APPL, V19
  • [4] Deiseroth J, 2013, P 17 CAMBR INT MAN S
  • [5] Delic K. A., 2001, P 2001 INT DAT ENG A
  • [6] Grieves Michael, 2016, WORKING PAPER
  • [7] Malakuti S., 2018, P 12 EUROPEAN C SOFT, P12
  • [8] Meyer C. L., 2006, THESIS
  • [9] Meyer C. M, 2007, INTEGRATION KOMPLEXI
  • [10] Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange
    Schroeder, Greyce N.
    Steinmetz, Charles
    Pereira, Carlos E.
    Espindola, Danubia B.
    [J]. IFAC PAPERSONLINE, 2016, 49 (30): : 12 - 17
12