Study On Optimization And Simulation Of Operation Mode Of Agriculture Products Logistics

China has made great achievements in agricultural development since the reform and opening up, the number of agricultural products has been basically solved, but the development of agricultural logistics is unsatisfactory, and it has become the bottleneck of the development of agricultural industrialization. At present, China agricultural logistics is based on the small-scale peasant economy, its processes are long-winded, its operators are so many and scattered, the organization level is very low, the logistical infrastructure fall behind, logistics of supply and demand information is blocked, the quality safety problems of agricultural products emerge in endlessly. Consumer demand for agricultural products towards to high quality, green, personalized, flexible and complex direction, the existing agricultural logistics operation mode has far cannot meet the demand of market. To optimize the agricultural logistics operation mode is imminent, through the various aspects of collaboration, we can improve agricultural logistics optimal operation efficiency, reduce logistics operation cost and improve customer satisfaction.Based on the optimized objects and targets, it is considered that there are several goal conflicts between each subsystem, and the agricultural logistics system is a multi-objective and multilevel complex logistics system, so we construct a multi-objective optimization model for logistics optimization analysis. Firstly the paper optimizes the objectives independently, such as agricultural logistics process, agricultural logistics organization subject, and agricultural information technology. Then the paper makes the overall coordination optimization, and think that the agricultural supply chain and the virtual enterprise of agricultural logistics are two kinds of optimized logistics operation mode for our country agricultural product, and analysis these two modes via the multi-objective optimization model. Based on the optimization, the paper is empirical optimization analysis on the pork industry. Finally we use the Flexsim to simulate the empirical case optimization results, analysis and confirm the advanced nature of optimizing mode.