适应动态需求的供应链多级库存系统仿真-《集美大学学报（自然科学版）》

文章信息/Info

Title:: Simulation Approach for a Supply Chain Multi-Echelon Inventory System Adaptable to Dynamic Demand

Author(s):: ZHOU Jianpin1; ZHOU Xiaofan2; (1.Navigation College,Jimei University,Xiamen 361021,China;2.Information Technology Faculty,Monash University,Victoria 3145,Australia)

Keywords:: supply chain; demand forecasting; multi-echelon inventory; heuristic algorithm; system simulation

摘要:: 针对需求的动态不确定性和供应链多级库存管理的复杂性，将适应性需求预测、预测误差追踪、改进的散列搜索算法与系统仿真相结合，提出启发追踪仿真优化方法，可以实现供应链多级库存系统决策的协同优化，并应用Simulink工具软件构建供应链多级库存决策系统的仿真优化模型。在不同需求波动模式下进行仿真测试，实验结果显示，该方法有较好地绩效表现，能够为供应链多级库存系统决策提供参考。

Abstract:: With an aim at the dynamic uncertainty of demand and the complexity of multiechelon inventory management in a supply chain,and by combining demand forecasting,forecast error tracking,improved scatter search algorithm and system simulation,a heuristic tracking simulation-optimization approach is proposed to achieve the collaborative optimization of the multi-echelon inventory system,and the simulation optimization model of a multi-echelon inventory decision-making system for supply chain is constructed by using Simulink tool software.Through simulation tests under different demand fluctuation modes and compared with the existing simulation optimization methods,the experimental results show that the proposed method has achieved better performance,and can provide an effective analysis reference for the decision-making of supply chain multi-echelon inventory system.