Research On Joint Optimization Of Inventory And Path Of Cold Chain Logistics

With the rapid development of the national economy,people's material needs and living standards have increased,and consumers' demand for cold chain logistics food such as fresh food,fruits and vegetables has also increased.Statistics show that in my country's current cold chain transportation and storage process,there are a large number of losses caused by the corruption and deterioration of cold chain products,resulting in economic losses that cannot be ignored in the cold chain logistics network.Therefore,studying the inventory-distribution problem of cold chain logistics network considering the cost of cargo damage can not only reduce the loss of goods in the inventory and distribution process,but also improve the efficiency and effectiveness of cold chain logistics inventory and distribution.Based on this,this paper considers the two realistic factors of cargo damage cost and fuel consumption,establishes a fruit and vegetable cold chain logistics inventory and distribution collaborative optimization model,and studies the fruit and vegetable cold chain logistics optimization problem.The specific research contents are as follows:(1)A three-level cargo damage cost model of cold chain logistics considering the deterioration rate of goods is proposed.First,study the problem of product loss in the cold chain logistics system,analyze the causes and components of the loss of goods in the cold chain logistics network,use the Weibull function to represent the cargo deterioration rate of fruit and vegetable cold chain logistics products,and construct the cold chain logistics product deterioration rate as Weibull distribution Three-level cargo damage cost model.(2)Considering the perishability of cold chain logistics products and the specific fuel consumption in the distribution process,a joint optimization model of fruit and vegetable cold chain logistics inventory and distribution is proposed.First,based on the established three-level cargo damage cost model,establish a cold chain logistics distribution center and demand point inventory control cost model,then consider the variable costs incurred in path distribution,and establish a cold chain logistics vehicle fuel consumption cost model and manpower Cost model.Finally,build a collaborative optimization model MPF for fruit and vegetable cold chain logistics inventory and distribution.Based on the model MPF,three model variants(M,MP,MF)are derived to analyze the impact of cold chain logistics product perishability and fuel consumption on the total cost of cold chain logisticsinventory-distribution.Study the carbon emission calculation model in the joint optimization of inventory-distribution,and establish a carbon emission calculation model for inventory and distribution in fruit and vegetable cold chain logistics.(3)Design hybrid simulated annealing-genetic algorithm to solve the model.Taking multi-distribution centers as the research object,the center-of-gravity partition method is used to transform it into a single-distribution center problem to simplify the solution process.Aiming at the genetic algorithm is easy to fall into local optimum,a hybrid simulated annealing-genetic algorithm is designed to solve the model.The experimental results show that in the inventory-path joint optimization model,considering the perishability of fruit and vegetable products can reduce the cost of cargo loss,while in the joint optimization model,explicit consideration of fuel consumption can reduce carbon emissions and distribution costs,thereby reducing the system total cost.The built comprehensive model MPF takes into account both perishability and fuel consumption,which can reduce the cost of system cargo loss and distribution costs,making the total cost better.