Research on Cost Management of Intelligent Logistics Enterprises Based on Digital Economy
To solve the common problems of poor profitability and small profit margins in current logistics enterprises,Logistics Com-pany M is taken as the research object.Based on activity-based costing and precision cost management,clustering ant colony algorithm is introduced to optimize its layout in X province to reduce costs,and its effectiveness is experimentally analyzed.The experimental re-sults show that when the value of b is 1,the total logistics cost is the lowest,which is 1.759 × 108 yuan.And the Z value,ρ value and A value are 1,0.48 and 2.3 respectively.Therefore,the total logistics cost optimized using clustering ant colony algorithm with four par-ameter values was reduced to 1.81×108 yuan,and the average profit of a single branch was also better than the comparative algorithm.Overall,the cost management improvement strategies proposed in the study are effective and can effectively control logistics cost ex-penditures.
Digital economyIntelligent logistics enterprisesCost managementClustering Ant Colony Algorithm
万方数据
维普
