Procedia Manufacturing · 2020 · 140 citations · 33 references
ManagementSupply Chain ManagementSystems EngineeringAutomationCyber-physical SystemsLogistics ManagementDigital Twin DesignIndustrial Internet Of ThingsSupply Chain DigitalizationWarehouse OperationsWarehousing ManagementDigital Twin ArchitectureDigital Twin SimulationDigital TwinsDigital Twins In LogisticsDiscrete Event Simulation ModelsDiscrete-event System SimulationLogisticsWarehouse Operations Planning
In the Logistics 4.0 era, the need to anticipate asset behavior and make near‑real‑time decisions has driven the evolution of discrete event simulation into a core component of Digital Twins. This paper reviews the literature on integrating DES with Digital Twins and identifies current trends and challenges in logistics. A DES platform serves as the cyber twin, executing queries on real‑time IoT data from the physical twin and updating the simulation to the next system state. Digital Twins enable the convergence of physical and virtual warehouses, supporting efficient and responsive planning, management, and decision making.
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.
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