目的 基于多品种、小批量的生产制造模式，在规定的8 h工作之内，快速有效地生产出多品种、多批量的卷烟，并对所需物料进行准确调度，达到经济效益最大化的目的。方法 针对某烟草生产企业订单需要生产6种型号的品牌香烟，通过分析卷烟生产线的工艺流程，提出一种解决卷烟厂车间资源优化调度的CSS模型，该模型可以根据产品之间的销售需求情况来匹配生产线资源配置，按需求比采用粒子群优化算法计算出单次投料后混合生产香烟所需的最小时间与最大收益。结果 将所得方案进行综合对比后，计算得出在规定工期内，生产香烟获取利益的最优分配方案，在迭代在10次以内时已完成了优化过程，最大获利为3.65万元。结论 该优化模型通过改变相关工艺参数能够实现对不同混合生产线的资源调度优化，并对其他制造行业提供借鉴价值。

Since the order-based multi-variety and small-batch production has become the manufacturing mode of enterprises, the work aims to produce multi-variety and multi-batch cigarettes quickly and effectively within the prescribed 8 working hours and to schedule the required materials accurately, so as to maximize the economic returns. According to the order of a tobacco production enterprise, 6 types of brand cigarettes were required to be produced. Based on the analysis of the process flow of the cigarette production line, a CSS model was proposed to solve the problem in resource optimization and scheduling in the workshop of a cigarette factory. The model could match the resource allocation of the production line according to the sales demand of products, and calculate the minimum time and the maximum profit of the hybrid production of cigarettes after a single feeding according to the demand ratio by the particle swarm optimization. After the comprehensive comparison of the obtained schemes, the optimal distribution scheme of profits from cigarette production within the specified time limit was calculated. The optimization process was completed within 10 iterations, and the maximum profit was 36 500 yuan. The optimization model can optimize the resource scheduling of different hybrid production lines by changing relevant process parameters, and can provide reference value for other manufacturing industries.