Research On Optimization Of Agricultural Logistics Distribution Route

Nowadays,China's agriculture has changed from the high speed development to high quality development.In the future,the new subject will play a leading role in agriculture development and state support will be greater.There will be significant innovation breakthroughs in agricultural management and sales of agricultural products.Based on this,this article takes the agricultural material logistics distribution as the main research subject,analysis to our country present agricultural work mode,and identify and resolve the problem discovered in the Operation process distribution.The research results will provide some reference for the distribution of rural agricultural material logistics.At first,this paper analyzes the current situation and main operation mode of agricultural materials in China by consulting literaturesfrom both domestic and overseas.On this basis,the distribution problems existing in the agricultural operation model are studied as focus.Analysis of the types and patterns of agricultural goods distribution,combined with the characteristics of the seasonal,particularity and complexity of agricultural products,this paper expounds the key problems in the process of agricultural delivery,and puts forward the irregular distribution,unreasonable distribution path and unprofessional distribution personnel in the distribution process.Secondly,because of the particularity of the agricultural product,we need a variety of models in distribution transportation.So this paper focuses at this problem and puts forward the model of agricultural distribution optimization,and uses genetic algorithm to decompose and compute.At last,this paper takes the H enterprise in Henan province as an example,and analyzes the logistics mode,distribution status and information platform.we calculate the distribution data of Hagricultural enterprise and simulate via MATLAB.Through the study of multiple vehicle distribution mileage,vehicle full load rate and distribution cost,the results show that this optimization model can effectively reduce enterprise cost,improve distribution efficiency and increase enterprise income.