Research On Optimization Of Multistage Green Cold Chain Network Considering Supply And Power Outages

With the development of social economy and improvement of prople’s living standards in China,the demand for cold chain products is increasing.Due to the unique timeliness of cold chain products,they are more vulnerable to the risk of interruption and emit more pollutants than other products in the process of storage and transportation.Moreover,there are still a series of problems in the cold chain logistics industry,such as chaotic network structure,low transportation efficiency and high logistics cost,which restrict the development of the industry.Therefore,rationally optimizing the location of node facilities in the network and the relationship between distribution paths are crucial to the development of the cold chain logistics industry.Given this,the research takes into account the impact of supply and power interruptions when integrating the green cold chain logistics network,which has positive significance for improving the resilience of the network and promoting the further development of the cold chain logistics industry.In this research,a bilevel programming model is constructed based on the four-level cold chain logistics network planning.The outer model is used to solve the location and quantity of factories and distribution centers,and the nested inner model is used to solve the distribution relationship in the network.Meanwhile,considering the impact of supply and power interruptions on cold chain logistics networks,this research divides the scenarios into four scenarios.By comparing the results of each scenario and analyzing the sensitivity of supply and power outages,the effects of various interruptions on the network are described in detail.Subsequently,in order to deal with the risk of interruption,the strategies of maintaining emergency stock and using backup equipment were proposed to improve the flexibility of the model.Besides,this research balances the cost-effectiveness and environmental performance by minimizing economic costs and pollutant emissions.Based on this,a double binary particle swarm optimization algorithm was proposed to solve the model.Finally,through the analysis of specific cases,the main conclusions are drawn.(1)The mathematical model and solution method proposed in this research have strong advantages in solving the interrupt problem,and can effectivel y generate the corresponding optimal results according to the probability of different interruption situations.(2)The loss incurred by the model after considering the interruption is somewhat lower than that without considering the interruption,when the interruption occurs.(3)The impact of supply interruption on the cold chain network is greater than that of power interruption,but when both are interrupted at the same time,the total cost and total carbon emission in the cold chain network reach the m aximum,and the number of selected facilities is reduced to the minimum.(4)The risk mitigation strategies adopted have high pertinence and effectiveness in this research.Different scenarios of outages cause different levels of damage to the enterprise,and the use of risk mitigation strategies significantly reduces the additional costs and carbon emissions caused by outages.Especially,the optimization effect of the strategy used for power interruption risk increases with the increase of power interruption time.