Study On Optimization Of Supply Chain Hybrid Transport Distribution Network In Low Carbon Environment

With the development and perfection of the carbon trading market,the low-carbon supply chain network design has become the hotspot of research.Considering the factors such as vehicle performance,load,distribution distance and speed,quantify energy consumption and carbon cost,the rich supply chain cost is consistent with the development trend of low carbon economy.Combined with the mixed transport and matching transport mode of transport,with no matching transport mode in the flexible vehicle scheduling advantages,while some of the product distribution and raw material supply to match the transport,an effective solution to the supply chain distribution of empty transport problems,Reduce the distribution distance,optimize the total cost of the supply chain.Therefore,in the supply chain distribution network,considering energy-saving emission reduction and mixed transport mode,not only has the theoretical value but also practical significance.The main work of this paper is as follows:(1)In the supply chain distribution network,the mixed transportation and distribution network optimization model considering energy saving and emission reduction is constructed for the practical mixed transportation and unmatched transportation modes.Combining energy saving and emission reduction,quantifying energy consumption cost and carbon cost as the total cost And does not match the transport distribution network optimization model.(2)Based on the optimization model of mixed transportation and distribution network of energy supply and emission reduction,the influence of supply chain satisfaction on distribution is discussed.Firstly,by analyzing the behavior and psychological factors of the decision makers,the paper introduces the foreground theory value function,and constructs the functions of measuring the satisfaction degree of suppliers,manufacturers and retailers respectively.Secondly,we use AHP to evaluate the weight of the main interests of the three supply chains in the distribution network,and then quantify the satisfaction degree of the supply chain.Finally,we establish the optimization model of the low-carbon distribution network considering the satisfaction mode.(3)A particle swarm optimization algorithm is proposed for the proposed model.In the particle swarm optimization(PSO)algorithm,the greedy algorithm is introduced.According to the characteristics of the mixed transportation and the non-matching transportation mode,the maximum travel distance constraint,the total number of factories,the factory production capacity and so on are not satisfied.Constraints are adjusted to reduce the probability of invalid path generation and improve the efficiency of algorithm optimization(4)The simulation of the above three models shows that:?Supply chain hybrid transport distribution network problems,taking into account the cost of carbon emissions,can optimize the cost of transportation costs and fuel costs,so that economic development and environmental protection complement each other;?The supply chain uses both mixed and unmatched transport modes to deliver the same amount of raw materials,and the mixed transport mode is better in optimizing the total cost of the supply chain,especially in terms of cost of travel,energy consumption,and cost of carbon emissions obvious;?Suppliers and manufacturers of the relative importance of the minimum satisfaction threshold,by adjusting the distribution line and matching the number of transport,supply chain satisfaction have an impact,need to combine the actual situation of the supply chain to determine the weight and threshold,design distribution program.