Optimization Method for B2C E-commerce Logistics Inventory Path Based on Improved Heuristic Algorithm
Currently,the optimization model for inventory routing in B2C e-commerce logistics is relatively single,with a small coverage area,resulting in an increase in the standard deviation of costs.Therefore,this article proposes the design and analysis of a B2C e-commerce logistics inventory path optimization method based on improved heuristic algorithms.Deploy logistics points and collect real-time B2C logistics data based on current path optimization requirements,combined with improved heuristic algorithms,to expand the coverage of optimization.Design and improve a heuristic calculation model for optimizing inventory paths in B2C e-commerce logistics,using adaptive adjustment to complete path optimization processing.The test results show that compared to the path optimization of heterogeneous electric logistics vehicles under uncertain demand,the optimization of pharmaceutical cold chain logistics distribution paths under carbon emissions and customer satisfaction,the cost standard deviation obtained by the improved heuristic algorithm for B2C e-commerce logistics inventory path optimization in this design shows an overall decreasing trend and gradually maintains a balanced state.After optimizing the complete path,the corresponding cost is also more controllable and has practical application value.
万方数据
维普
