Research on network optimization of vehicle parts pickup with task sharing under the background of shared logistics

The rapid development of China's automotive industry rise to a huge demand for automotive parts logistics. In response to the problems of large pickup radius, high pickup costs, and untimely pickup in existing automotive parts distribution centers, this paper proposes to expand and optimize the vehicle parts pickup network based on the existing logistics transfer nodes of shared vehicle logistics. A task sharing model for picking up automotive parts based on shared logistics is established, with the goal of minimizing the total number of new distribution centers, and considering reasonable pickup radius constraints and distribution center pickup task sharing constraints. Through empirical analysis and comparative analysis based on the multi center of gravity method, it is found that the idea of sharing vehicle logistics node resources proposed in this paper is economically viable. In addition, while ensuring the nearby pickup of goods from the distribution center, the model can also consider task sharing among distribution centers, resulting in an ideal allocation of pickup tasks.