Discrete Event Simulation and Digital Twins: Review and Challenges for Logistics

Дискретно-событийное моделирование и цифровые двойники: обзор и проблемы логистики
Stavros T. Ponis, Eleni Aretoulaki, George Plakas, K. Agalianos, Orestis Κ. Efthymiou
2020-01-01

Digital twinsDiscrete event simulationInternet of ThingsLogistics 4.0Virtual warehouse
In the Logistics 4.0 era, the demand for anticipating asset behaviour and make decisions in an almost real time fashion has led to the evolution of DES into an integral part of what is currently known as the Digital Twins (DTs). A Discrete Event Simulation software is assuming the role of the cyber twin, executing simulation software queries on real time data produced by IoT devices embedded on the physical twin, i.e. the automation, which are then processed, updating the simulation to the next system state. In that way, DTs facilitate the convergence of the physical and virtual warehouse, thus supporting efficient and responsive warehouse planning, management and decision making. This paper explores the current literature on the integration of DES and DTs and identifies trends and challenges for contemporary Logistics.
1
Discrete event simulation has evolved into an integral component of Digital Twins for anticipating asset behavior and supporting near-real-time decision-making in Logistics 4.0.
2
In the described architecture, simulation software acts as the cyber twin, processing real-time IoT data from physical automation and updating the simulated system state.
3
Integrating DES and Digital Twins enables convergence between physical and virtual warehouses, supporting more efficient and responsive planning, management, and decision-making.
4
The paper reviews existing literature on DES–Digital Twin integration and identifies contemporary trends and challenges for logistics applications.

integration of Discrete Event Simulation and Digital Twins in logistics, particularly physical and virtual warehouses

trends and challenges in using integrated Discrete Event Simulation–Digital Twin systems for real-time warehouse planning, management, and decision making

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Publication Date
2020-01-01
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Authors
Stavros T. Ponis
Eleni Aretoulaki
George Plakas
K. Agalianos
Orestis Κ. Efthymiou
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