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.