Optimization Of Cold Chain Logistics Distribution Routes Considering Carbon Emissions And Immediate Customer Demand

The increasing demand for fresh cold chain products has greatly promoted the development of cold chain logistics in China.However,the high carbon emission and high energy consumption of cold chain logistics are contrary to the "low carbon economy" advocated nowadays,and the real distribution process often generates immediate demand from customers,which is easy to be sudden and difficult to predict.Therefore,how to reasonably plan the driving path of distribution vehicles,reduce economic costs,and meet the immediate needs of customers while reducing carbon emissions has become a key concern for cold chain logistics enterprises.In this thesis,the optimization of cold chain logistics distribution path considering carbon emission and immediate customer demand is studied.Firstly,the theoretical studies related to vehicle path,cold chain logistics distribution path and low carbon vehicle path are sorted out;secondly,the concepts,characteristics and applicability of cold chain logistics are explained,the definitions of vehicle path problem and dynamic vehicle problem and related theories are introduced,and the concepts and characteristics of low carbon logistics are described;then,with the objectives of minimizing distribution cost and maximizing customer satisfaction,carbon emission cost is Then,the distribution path optimization model is established with the objective of minimizing distribution cost and maximizing customer satisfaction,taking carbon emission cost into consideration;then,according to the characteristics of the model,the improved ant colony algorithm is selected to solve the initial distribution path stage,and in the stage of immediate customer demand,the immediate customer information processing and path updating strategies are proposed,and the insertion method is determined to be used to solve the distribution path by using the timed batch processing method;finally,taking the actual data of enterprise M as an example,the optimization model constructed in this thesis and the designed algorithm are applied to obtain the optimal distribution path.Finally,using the actual data of enterprise M,the optimal distribution path is obtained by applying the optimization model constructed and the algorithm designed in this thesis,and the local optimization of the distribution path is carried out for the immediate demand of customers.In this thesis,the carbon emission in cold chain distribution is costed,the vehicle distribution path is reasonably planned,and the distribution path is locally optimized for the immediate needs of customers,so as to balance the economic benefits of enterprises and customer satisfaction while reducing the pollution to the environment to meet the national green development trend.