目的 改进某卷烟厂供销商的补货方案，实现智能物流，通过综合考虑生产供给线的工艺特点和反馈的补货需求信号，提出一种基于免疫算法的距离优化模型，以提高智能化物流效率和补货效率。方法 通过将客户的需求订单进行分析及排序，将存在的问题通过建模转化为旅行商问题。利用免疫算法对该问题进行求解，并利用Matlab进行仿真计算。结果 得到了平均适应值和最优适应值2条曲线收敛接近的结果。同时，将订单顺序进行最优排列，提高了智能物流的效率。结论 基于免疫算法的距离优化模型切实有效，可用于改进卷烟厂供销商的补货方案。同时，能够优化订单需求排序，实现智能物流。该方案对于提高供销商的运营效率、满足客户需求具有积极意义。

In order to improve the replenishment scheme of a cigarette factory supplier and realize the intelligent logistics, the work aims to propose a distance optimization model based on immune algorithm by comprehensively considering the process characteristics of the production supply line and the replenishment demand feedback signal to improve the intelligent logistics and the replenishment efficiency. By analyzing and sequencing the customer's demand orders, the existing problem was transformed into traveling salesman problem through modeling. Then, the immune algorithm was used to solve the problem, and the simulation was carried out on Matlab. The results showed that the two curves of the average fitness value and the optimal fitness value converged closely. At the same time, the order sequence was optimally arranged to improve the efficiency of intelligent logistics. The distance optimization model based on immune algorithm is effective and can be used to improve the replenishment scheme of cigarette factory suppliers. At the same time, the order demand sequencing can be optimized and the intelligent logistics can be realized. Therefore, this scheme has positive significance for improving the operational efficiency of suppliers and meeting customer's demand.