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What are the benefits of using simulation modeling in logistics optimization? 


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Simulation modeling offers several benefits in logistics optimization. Firstly, it allows for the analysis and evaluation of a computer model representing a real system, providing useful information on how the system works in different conditions . This enables a better understanding of processes and helps in optimizing logistic chains organization . Additionally, simulation allows for the parallel simulation of multiple alternatives, facilitating the comparison of different scenarios when there are changes in input data . Simulation models of logistic chains can greatly influence decision-making related to distribution, leading to more efficient and cost-effective solutions . Furthermore, simulation techniques can be combined with optimization algorithms to deal with large-scale and complex problems in transportation, logistics, and supply chain management . Simulation software can also be used as a tool for making logistic decisions, providing insights and allowing for the analysis and optimization of logistics processes . Finally, simulation models can be used to verify decisions and assess the impact of stochastic processes on productivity and cycle time .

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The paper does not explicitly mention the benefits of using simulation modeling in logistics optimization.
The paper does not explicitly mention the benefits of using simulation modeling in logistics optimization.
Simulation modeling in logistics optimization allows decision makers to consider scenarios under uncertainty and deal with large-scale and NP-hard problems.
Simulation modeling in logistics optimization offers better understanding of processes, faster identification of bottlenecks, comparison of alternative scenarios, and informed decision-making for distribution management.

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