面向动态需求的无人机物流配送中心选址研究OA

For the location selection problem of urban logistics distribution centers,considering urban dynamic development scenarios and unmanned aerial vehicle(UAV)characteristics is crucial for improving the scientifici-ty and practicality of location schemes.First,three dynamic demand scenarios,namely natural growth,ring ex-pansion,and directional development,were established according to urban development patterns.A full-cover-age location model with the objective of minimizing the sum of location cost and operating cost was then con-structed.Next,to improve the solution accuracy of the model,the traditional K-means clustering algorithm was improved by using a grid-based method.Finally,numerical simulations verified the feasibility and effectiveness of the model and algorithm.The results show that the improved K-means clustering algorithm achieves better clustering performance;the total cost of distribution centers under the dynamic strategy is lower than that under the static strategy;and except for extremely special scenarios(e.g.,abnormally high construction cost or newly added demand completely concentrated in a single year),the dynamic strategy is the better choice.