考虑倒垛因素的轧制计划编制方法

Rolling planning problem with stacking factor

在给定粗轧制计划的基础上考虑钢坯库倒垛优化,编制详细的轧制计划;建立以最小化轧制计划内钢坯出库总倒垛次数与轧制单元之间切换机架次数为目标的多目标整数规划模型;针对模型特征,设计一种基于钢坯匹配的单亲遗传算法.通过基于实际生产数据的实验验证,相对于传统的手工计算方法,所提出的算法在优化倒垛次数和切换机架次数上平均提升20%,算法和模型是可行且有效的.

A multi-objective integer programming model is presented for the billet warehouse stacking optimization problem with the purpose of minimizing the stacking shuffles and the switches of rolling units. The optimization of billet warehouse stacking based on the given rolling plan is taken into consideration in the proposed model. To solve the model, a partheno-genetic algorithm based on the billet match is constructed. The experiment results from the real production data show that the algorithm improves 20%on average for optimizing the stacking shuffles and the switches of rolling units through comparing with the traditional manual method, which illustrates the effectiveness of the proposed model and algorithm.