Research On Location Routing Joint Optimization Model Of Low Carbon Supply Chain System With Time Window

With the increase of carbon emissions and global warming,supply chain and logistics operation are the important causes of carbon emissions.In addition,as an important research direction of supply chain management,joint optimization problem has been widely concerned by scholars.Facility location problem and vehicle routing problem are very important theoretical foundations in the design of supply chain.Since facility location problem and vehicle routing problem were put forward,they have attracted extensive attention in academia and enterprise.Facility location is a strategic problem,and vehicle routing is an operational problem.They often separated from the problem,and each of them constitutes a large part of the cost of the supply chain.The joint optimization can often produce a better plan than considered individually and will reduce the cost significantly.In real life,the decision-making of these problems is often affected by the actual factors,for example,delivery time and service level.Although the present research has achieved a series of achievements,it is not perfect in the joint optimization of location and path.Based on the location of joint optimization,we consider the time window constraints and other factors,established the double objective model with the goal of the least amount of carbon emissions and the lowest system cost.Finally,applying the model to practice and obtaining the management inspiration.This paper mainly completed three aspects of research work:(1)The nonlinear function of fuel consumption is constructed,and the unit fuel consumption will produce a fixed amount of carbon emissions.We calculate the carbon emissions in the process of vehicle transportation by calculating the total fuel consumption of the vehicle.The fuel consumption of the vehicle is calculated,and the technical data,vehicle speed,vehicle weight,vehicle acceleration and travel distance are taken into account to obtain more practical results.On this basis,an integer nonlinear programming model is proposed;(2)A model of low carbon vehicle route optimization under time window constraint is constructed.Based on traditional vehicle routing problem,a bi objective optimization model is developed to minimize carbon emssions and economic costs.The carbon emissions measurement is described and mathematical nonlinear integer programming model was constructed.Finally,the model is processed;(3)A joint optimization model of location and route for low carbon three echelon supply chain with time window is constructed.Based on the supply chain system of factory-distributor-customer,a bi objective model considering economic cost and carbon emission is constructed.Among them,the carbon emissions in vehicle transportation and location of facilities are measured and mathematically described.Finally,the potential applications are studied.Through the comparison between the location routing optimization model of low carbon three echelon supply chain and the vehicle routing optimization model of low carbon two echelon supply chain,it is found that more carbon emissions will be generated from the service provided directly from the factory to the customer,and some suggestions for enterprise decision-making are also provided.Finally,the paper summarizes the main research results and conclusions of this paper,the main contributions and limitations of the study,and to further carry out research work is described.