目的 针对面向仓储物流环境下多型号多批量产品的订单包装问题，提出一种预制物流箱规格优化模型及算法。方法 对产品订单建立订单分包规则，确定分包方案，以订单包装材料总成本最小为优化目标建立物流箱规格优化模型。针对该模型提出一种改进模拟退火算法，通过贪婪策略求解最优分包方案，降低模型计算复杂度，设计一种新型解更新算子，以提高算法寻优能力，设计一种自适应步长策略，以平衡算法前期全局搜索与后期局部搜索的能力。结果 通过实例证明，文中提出的算法相较于其他算法，具有更强的求解能力，与实例企业仓储包装现状相比，同批订单降低了17%的包装材料成本。结论 该方法可用于解决产品种类多、尺寸差异大、动态更新等应用场景下的系列运输包装纸箱规格优化问题，为企业物流运输管理提供了一种有效的包装优化思路和解决方法。

The work aims to propose a prefabricated logistics bin specification optimization model and algorithm to solve the order packaging problem of multi-variety and multi-batch products in warehousing logistics environment. Firstly, the split packing rules were established for product orders to determine all split packaging plan. A logistics bin size optimization model was established with the minimum total cost of packaging materials for all orders as the optimization objective. Then, an improved simulated annealing algorithm was proposed for this model. After using greedy strategy to solve the optimal split packaging plan to reduce the computational complexity of the model, a new solution updating operator was designed to improve the optimization ability of the algorithm, and an adaptive step size strategy was designed to balance the global search and local search ability of the algorithm. The experimental results showed that the algorithm had stronger solving ability than other algorithms; compared with the packaging status of example enterprises, the same order could reduce 17% packaging cost. This method can be used to solve the problem of optimizing logistics bin specifications for series transportation under the application scenario of multiple product types, large size differences and dynamic updates, providing an effective set of packaging optimization ideas and solutions for enterprise logistics and transportation management.