Optimization Study Of The Multi-center Collaborative Distribution Of Fresh Agriculture Products At The Same Level

China is vigorously promoting the process of urban modernization,and the urban population will further increase in the future.The resulting urban logistics collaborative distribution of fresh agriculture products has become an important problem demanding prompt solution.The urban logistics cooperation and distribution of fresh agriculture products is an important research direction in the field of transportation and transportation,and is the key link of the "last mile" transportation.Because of the special environment including the fresh agriculture products logistics and distribution of the limited city cooperation,agriculture products of their own characteristics,infrastructure constraints,government policy,road commuters,for the study of fresh agriculture products logistics collaboration and distribution of the city is becoming a research focus of scholars at home and abroad,the current research on city logistics distribution mainly concentrated two aspects in distribution center location and vehicle routing optimization.How to effectively collaborate the distribution centers in urban areas to reduce transportation costs,improve service efficiency,reduce environmental pollution and improve traffic congestion is the key to distribute the distribution centers reasonably.Therefore,the topic of this thesis is of great practical significance in solving practical problems.Fresh agriculture products at the same level of multi-center collaborative distribution network is part of the city logistics distribution network in collaboration with fresh agriculture products,this article from the fresh agriculture products at the same level of multi-center collaborative distribution of fresh agriculture products logistics cooperation city distribution network optimization problem,the fresh agriculture products at the same level of multi-center collaborative distribution problem is decomposed into fresh agriculture product distribution characteristics analysis of vehicle route optimization of cooperative Multi-Center Distribution Center Alliance revenue allocation optimization and alliance sequence solving several parts,specific analysis of each part,and the smooth implementation of the city logistics distribution network collaboration of fresh agriculture products to provide foundation of theory and practice.The main contents of this paper are as follows:(1)Analysis of fresh agriculture products distribution characteristics is the first important part of this paper,based on the characteristics of fresh agriculture products and delivery requirements of the specific analysis of fresh agriculture products are aging requirements,perishable characteristics to build multi-center collaborative distribution network corresponding to the analysis of components of the distribution network,clear structure and the characteristics of distribution network,optimization principle to establish collaborative distribution network of fresh agriculture products.(2)Multi-center cooperative vehicle routing optimization is an important part of this paper.The vehicle cooperative distribution route is divided into two distribution modes: straight line and loop line.Linear distribution method: multi-center collaborative vehicle assignment problem,first with multiple distribution center total transportation cost minimum as the goal,to the vehicle load,the maximum distance of transport,goods distribution center storage etc.the mathematical programming model as constraints,then the real number encoding was established by using hybrid genetic particle swarm algorithm to solve the model,finally to four kinds of income distribution model of the distribution center for collaborative distribution obtained by solving the alliance total income.Link type distribution mode multi-center collaborative vehicle route optimization problem,similar to the multiple distribution center total transportation cost minimum as the goal,to the vehicle load,the maximum distance of transport,goods distribution center storage amount of customer demand,such as the establishment of a mathematical programming model for constraints first,customers will click to form initial vehicle distance clustering line,then the hybrid genetic particle swarm algorithm,the alternate use of two algorithms used in hybrid algorithm,genetic algorithm based on the periodic replacement of the particle swarm algorithm to improve the computational efficiency of the hybrid algorithm,and join in the adaptive weight particle swarm algorithm to enhance the convergence speed of the algorithm,and compare with the different algorithms,validate the effectiveness of the presented algorithm.(3)An important part of solving the cooperation Sequence Distribution Center Alliance revenue allocation optimization and alliance is studied in this paper,the profit allocation strategy is obtained by assigning different profit model is different,the influence of income distribution of different strategies of the distribution center can form a long-term stable alliance is different,the selection method of profit allocation strategy alliance stability and to the nuclear center with different income distribution strategy of the distance of radius to determine the stability of different strategies using the "snowball" theory,and ultimately contributed to the Alliance for long-term and stable cooperation.The cooperation of distribution centers is a dynamic process.The third party logistics service providers are introduced as the alliance coordinator to negotiate with the distribution center,and the strict monotonic increasing method is adopted to select the cooperation sequence of the Distribution Center Alliance.Increase in the number of distribution centers,in accordance with the method of the strictly monotonic distribution center cannot form an alliance,and then put forward the formation of multiple local alliance cooperation mode,the alliance logistics service provider to obtain maximum benefit as the goal of cooperation alliance best sequence.