The preparation of quality raw slurry is a complicated and crucial process in alumina production which determines the cost and efficiency of the entire production. In the mixing unit, some tanks with fully filled raw slurry are available to be selected in each round, and the components in these selected tanks are required to be mixed, meanwhile some ratios of chemical compositions in the final mixture must be strictly within the required level. This is the production procedure of quality raw slurry. To improve production efficiency and reduce operation time lags, this selection and proportioning problem is formulated as a mixed integer programming problem. An optimization algorithm developed based on the moving time domain is applied to find the optimal selection and the optimal mixing proportioning strategy such that the productivity of the quality raw slurry is maximized. Practical on-site comparison experiments are carried out using the proposed method and the method based on the experience of the operator. The results obtained show that the proposed approach is effective and has advantage in the preparation of quality raw slurry with high efficiency and maximal productivity.

优质原料浆的制备是氧化铝生产中一个复杂而关键的过程，它决定了整个生产的成本和效率。在混合单元中，每轮都可以选择一些装满原浆的罐，这些罐中的成分需要进行混合，同时最终混合物中的一些化学成分比例必须严格在要求范围内等级。这是优质原浆的生产过程。为了提高生产效率和减少操作时滞，这个选择和配比问题被表述为一个混合整数规划问题。应用基于移动时域开发的优化算法来寻找最优选择和最优混合配比策略，以使优质原浆的生产率最大化。使用所提出的方法和基于操作者经验的方法进行了实际的现场对比实验。所得结果表明，所提出的方法是有效的，并且在以高效率和最大生产率制备优质原料浆方面具有优势。