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In total, 15 agents were used to mimic the flow of import and export products. On the other hand, discrete event modeling was applied for sequencing the procedures inside different agents of the supply chain network.
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Specifically, agent-based modeling was used for communication between the four main supply chain entities (products, trucks, vessels, and ports). To develop the model, the research team used a combination of the agent-based and discrete event modeling approaches along with geographic information system (GIS) included in the simulation software AnyLogic 8.4.
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The dynamics of the freight flow in the supply chain were set based on the four main entities: products, trucks, ports, and vessels. The supply chain risk management model focused on Roll-on/Roll-off (Ro/Ro) maritime transport connectivity between Ireland, the UK, and other EU member states. Simulation model for supply chain risk management To predict forthcoming changes related to Brexit and analyze their impact on the cheese supply chain in Ireland, a simulation model was built. In Ireland, cheese will be most impacted by delays at ports caused by the potential reintroduction of customs or border controls. Any attempt to circumvent or penetrate security of Electronic Access is strictly prohibited.In Ireland, dairy products are the largest product category exported with 34 % of total global trade, with the production of cheese accounting for over 800 million exports per year alone.Ĭheese products are extremely vulnerable to Brexit due to the importance of trade with the UK. You shall not reverse engineer, disassemble, decompile or attempt to determine the source code for, any Proprietary Software.
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