供应链网络优化：基于AnyLogic的模拟与分析【案例研究】

Supply chain network simulation and optimization based on AnyLogic software is a crucial aspect in the analysis of the complexity of supply chain networks, especially in the context of companies like Down Jacket in the East China sales area. This study utilized AnyLogic software to simulate and analyze the supply chain network, including the relationships between central warehouses, regional warehouses, and stores, using intelligent agents and process diagrams to connect them. The results were visually presented in GIS to analyze the product flow and layout of regional warehouses, as well as to calculate the logistics costs in the initial state. Furthermore, the study employed the maximal-minimal distance clustering algorithm to group stores and transform multiple center site selections into single center site selections. This allowed for the determination of warehouse locations for each region, which were then validated through simulation using AnyLogic to verify the optimization results. The integration of the various components of the supply chain network and the use of advanced algorithms and simulation techniques in AnyLogic software allowed for a comprehensive analysis and optimization of the supply chain network for Down Jacket in the East China sales area. Overall, this study highlights the importance of supply chain network modeling and optimization using AnyLogic software in addressing the complexity and challenges faced by companies in managing their supply chain operations effectively. By utilizing advanced simulation tools and algorithms, companies can make informed decisions, reduce costs, improve efficiency, and enhance overall performance in their supply chain networks.