Abstract: This paper investigates the core challenges constraining inbound logistics operations of automotive parts under the integrated packaging and transportation mode. Two primary issues are identified: first, the lack of a multi-period scheduling mechanism for packaging containers; second, inefficiencies in delivery patterns and vehicle scheduling for full and empty containers within a single period. In response, it proposes a comprehensive solution integrating shared leasing and circular packaging. Based on a two-stage optimization framework, the first stage develops a multi-period supply-demand balanced scheduling model for circular packaging containers. An improved particle swarm optimization algorithm is employed to generate scheduling plans for full and empty containers. The second stage, leveraging the dual-cycle cross-docking operation mode of circular packaging suppliers, establishes a parts delivery route optimization model incorporating cross-docking tasks. An improved brainstorming algorithm is designed to solve the vehicle scheduling problem. Empirical results demonstrate that the proposed solution achieves efficient coordinated scheduling of full and empty containers and reasonable planning of parts delivery routes, providing a viable strategy for cost reduction and efficiency improvement in automotive parts inbound logistics.

Key words: automotive parts inbound logistics, integrated packaging and transportation mode, full and empty container scheduling, cross-docking, automotive parts delivery route

摘要： 在运包一体化模式下，汽车零部件入厂物流运作面临两大核心难题：一是缺乏多周期视角的包装器具调度机制；二是单周期内重箱与空箱的配送模式及车辆调度效率不足。针对这些问题，本研究提出共享租赁循环包装运包一体化整体解决方案。该方案采用两阶段的优化框架：第1阶段构建循环包装器具多周期供需平衡调度模型，并采用改进粒子群算法求解模型，生成重箱与空箱调度方案；第2阶段依托循环包装器具供应商运作的双循环集配越库作业模式，建立带越库作业的零部件配送路径优化模型，并采用改进头脑风暴算法求解车辆调度方案。实践应用表明，所提出的方案能够实现重箱与空箱的高效协同调度，并合理规划零部件的配送路径，为汽车零部件入厂物流的降本增效提供了可行的策略参考。

关键词: 汽车零部件入厂物流, 运包一体化模式, 重空箱调度, 越库作业, 零部件配送路径