Multi-Objective Optimization and Simulation of Logistics Distribution Network Location under Uncertain Demand
The uncertainty of logistics distribution demands leads to fluctuations in logistics delivery costs,which increases the diffi-culty of logistics management and exacerbates the inefficiency of the"last mile"delivery.Aiming to reduce the costs and shorten the de-livery time of last-mile logistics,a multi-objective optimization strategy based on a"0-1"integer programming model was proposed,con-sidering the transportation capacity and population density of the service area under uncertain package volumes.A dynamic location model for logistics distribution centers was established and validated through simulation using Anylogic.The results of the study indicate that,in the case of significant short-term fluctuations in the number of packages to be delivered,differentiated adjustments in the level of transpor-tation capacity,outlet locations,and service capabilities are necessary to achieve cost reduction and efficiency enhancement.
demand uncertaintyterminal distributionsite selectioninteger model
万方数据
维普
