Cross-regional Delivery Optimization Of Military Equipment Based On Hub-and-spoke Network

When a major emergency occurs in the country,the strength and equipment of a single theater cannot meet the needs of war.A certain amount of equipment must be assembled from several other theaters to supplement it.However,there is relatively little research on cross-regional strategic projection in China.Therefore,Based on the research on the optimization of cross-regional strategic delivery of military equipment based on hub-and-spoke network,this paper puts forward the optimization problem of road-rail combined transportation,and constructs a joint optimization model of locationrouting-sequencing and uses genetic algorithm to solve this problem.Providing a certain degree for cross-regional strategic delivery guide.This article mainly does the following work:(1)The research status of domestic and foreign strategic projection,the model and algorithm of the location-routing problem,etc.are summarized and explained,and the research on the optimization of cross-regional strategic projection of military equipment based on the hub-and-spoke network is analyzed.(2)Detailed introduction and analysis of military equipment cross-regional strategic delivery,location-routing problem and heuristic algorithm related theories,and how to solve the difficulties of this article: marshalling station site selection and equipment loading and unloading at the marshalling station The sequence issue is discussed;(3)In view of the requirements for constructing a cross-regional strategic delivery system for military equipment based on a hub-and-spoke network,starting from the particularity of geographic location,transportation mode,etc,by analyzing the location of the assembly area,the first and last based on factors such as marshalling station location and destination location,a hub-and-spoke network of road-rail combined transportation was constructed,and a location-routing-sequencing joint optimization model was established;(4)By analyzing the characteristics of the model in this paper,a two-tier genetic algorithm was designed and proposed.The framework realizes internal and external interaction through information transmission,and uses Python programming to obtain the best results.Finally,taking the Yellow Sea area strategic delivery as an example to verify the model and algorithm of this article,the results show that the strategic delivery time of this case is 12 days,which verifies the effectiveness and rationality of the optimization strategy in this article.After comparing with the traditional "first come,first served" optimization strategy,it is found that the optimization strategy designed in this article has significantly improved time optimization,and the strategic delivery time can be shortened by about 4.9% in the case of the scale of this article.It can also be seen from the comparison results that when the equipment scale is small and the equipment scale is large,the time difference between the two optimization strategies is very small.Within a certain scale,the optimization strategy time in this paper is better than the traditional "first come,first served" The optimization strategy proves that within this range,it is important to consider the order of loading and unloading equipment at nodes.It also shows that the loading and unloading capacity of marshalling yards is relatively weak in the cross-regional strategic delivery of large-scale equipment,and it is necessary to further improve the equipment loading and unloading capabilities at my country’s marshalling yards.