Study On Optimization Of Cold Chain Distribution Network Based On Double Layer Programming

The general secretary said that maintaining the resilience and stability of global industrial and supply chains is an important guarantee for world economic development and serves the common interests of people around the world.At the same time,consumers’ requirements for the quality of fresh products are increasing day by day.The position of the cold chain cannot be ignored.The distribution link of the cold chain is in urgent need of optimization.And there are few researches on the cold chain distribution network of the pre-warehouse at present.Therefore,this paper uses the two-layer programming model to conduct a holistic and systematic study on this problem.After clarifying the significance,background and purpose of the study,this paper firstly expounds and analyzes the cold chain logistics and the front warehouse from many aspects,and then defines the research scope of the front warehouse cold chain distribution network planning.According to the characteristics of the research object,an optimization model of the front warehouse cold chain distribution network based on double-layer programming is established.The minimum total cost is its objective function.Then,according to the characteristics of the model,the algorithm suitable for solving this problem is selected,and the advantages and disadvantages of different algorithms are compared and analyzed.Finally,the minimum envelope method and the ant colony algorithm are selected to solve the model by simulation.Different from the previous studies in the city,this paper studies the terminal consumption community and analyzes the sensitivity of the simulation results.The study found that the model can meet the needs of customers and reduce the operating costs of fresh electricity suppliers.Conducive to the sustainable development of fresh e-commerce.