基于超级时空网络的共享仓储资源分配策略研究

Resource allocation strategy for shared storage based on super spatiotemporal network

仓储作为物流环节中的一环,对物流成本和效率都起着至关重要的作用。为了提升仓储运转效率,建立了基于超级时空网络的共享仓储资源分配模型,并运用模拟退火算法进行求解。通过建构仓储系统的超级时空网络,把仓储过程中的物品和行动轨迹用节点和弧段表示出来,使抽象的问题形象化。研究的共享仓储系统可以由一个或多个仓库组成,通过对模型的求解可以获得整个系统成本最低的仓储方案,并用实证分析证实了模型和算法的有效性。

As a link in the logistics chain,warehousing plays a crucial role in both logistics costs and efficiency.In order to improve the operational efficiency of warehousing,a shared warehousing resource allocation model based on the super spatiotemporal network has been established and solved using the simulated annealing algorithm.By constructing the super spatiotemporal network of the warehousing system,the items and action trajectories in the warehousing process are represented by nodes and arcs,which makes the abstract problem more tangible.The shared warehousing system studied in this research can consist of one or multiple warehouses.Therefore,the feasibility of the model is verified by an example analysis,and the optimal storage scheme is calculated by simulated annealing algorithm,which greatly reduces the cost of the system and proves the effectiveness of the algorithm.