Optimization Model Of Empty Container Allocation Based On Heavy Box Income

With the acceleration economic globalization,international trade is also evolving,and container transport is becoming more and more important under the influence of multimodal transport.However,due to regional imbalances in economic and trade,the imbalance in the demand and supply of containers in different regions has led to a large number of empty container transport and waste of transportation costs.How to carry on the reasonable transportation to the container as well as to improve the efficiency of transportation and ensure the profit of the container enterprise becomes the core of the research.At present,the popular research is mostly aimed at the sea transportation system,and the transportation cost minimization is studied.Based on the study of container shipping problems caused by the imbalance of regional trade in the hinterland,this paper takes the shortest path method and the operation optimization method to consider the container transportation cost and the customer's The satisfaction rate of the container transportation enterprises is taken as the objective function,which satisfies the constraints of the box flow and the customer's demand in the transportation network,and constructs the optimization model and solution method of the inland air box transportation based on the heavy box revenue.The shortest path labeling method and the genetic algorithm are used to solve the model.Finally,the algorithm is programmed by matlab to find the optimal solution.Finally,the paper analyzes the empty box transportation in the inland hinterland area of Dalian Port,and then analyzes and analyzes the model,and then analyzes the difference between the profit before and after the construction of the model,The model of the container transport enterprises or have a certain reference and research value.