啤酒生产调度数学模型及其优化

针对啤酒企业生产人工调度效果不理想的问题,建立了啤酒生产调度数学模型,并研究了此类间歇工业调度问题的优化方法.根据啤酒生产流程特点,将整个啤酒生产划分为糖化区、过滤包装区,分别建立相应的生产调度数学规划模型,并通过蚁群优化算法求解此类调度问题.该优化调度方案在企业中的应用结果表明,通过蚁群算法对建立的啤酒调度模型进行优化,该方法具有良好的鲁棒性与实用性,可为生产管理人员提供方便快捷的优化解决方案.

Mathematical programming model for beer production scheduling and its optimization

To deal with the deficiency of manual scheduling, we propose a mathematical model for beer production scheduling, and present the method for its optimization. Based on the production process, the entire beer production is divided into saccharification area, and filtering and packing area. For the production in each area, we set up the corresponding mathematical programming model for production scheduling, which is then optimized by using the ant colony optimization algorithm. The application results show that the developed optimization program provides robust operation in practical productions. It is also convenient and effective in production management.