Optimization and Exploration of the Volume Scheduling Problem in Logistics Network

Compared to traditional business activities, e-commerce activities are more susceptible to the impact of logistics networks and various emergency situations. Therefore, in the event of a special situation, e-commerce operators urgently need an optimized emergency response plan. This article aims to establish a logistics network scheduling model to help operators cope with emergencies and improve operational efficiency in emergency situations. The article establishes a path planning model that considers how the logistics network can quickly plan when a warehouse or road suddenly closes, which can meet the logistics transportation requirements and minimize the number of logistics adjustments required. The article focuses on the classification integration and visualization of logistics network data, evaluates the importance of each logistics location and road, determines the workload and efficiency, dynamically adjusts the logistics sites, and discusses the impact of logistics site closures and the feasibility of this research method. The planning model developed in this article has strong reference value for the mobilization plan of real logistics.