Optimization of Logistics Network Based on Single Objective Programming

Logistics network is a system of transportation routes between logistics sites. With the rise of modern ecommerce, businesses increasingly rely on the efficiency and stability of large logistics networks. Therefore, optimizing the structure of logistics networks is crucial for improving transportation efficiency and responding to emergency situations. This article uses cargo volume data to develop two planning models related to transportation solutions in logistics networks to address emergency situations that arise from the closure of logistics sites. First, a single objective planning model minimizes the number of routes with changes in cargo volume, optimizing the use of available transportation routes. Second, a dual objective dynamic cargo volume allocation planning model achieves dynamic balance among each route, ensuring efficient use of transportation resources. This methodology optimizes the emergency structure of the logistics network, enabling a rapid response during emergencies, reducing transportation costs, and improving efficiency, and has high practical significance.