Optimization of Inventory Distribution for Flexible Container with Balanced Loading Rates
In response to the challenges of outdated inventory management and low loading rates for flexible container,this paper investigates the inventory distribution problem for flexible container across multiple periods,varieties,and cus-tomers.It established a model with the dual objectives of minimizing the overall system cost and optimizing the evenness of delivery vehicle loading rates.A catastrophe genetic simulated annealing algorithm is proposed to solve the inventory strate-gy.A C-W savings algorithm is designed at a lower level to determine distribution routes.Experimental results demonstrate that the improved algorithm outperforms the basic genetic algorithm,achieving an average loading rate of 83%for delivery vehicles.This research provides a scientific decision for the management of the flexible container supply and distribution system.
inventory distribution problemvehicle loading ratesimproved algorithm
万方数据
维普
