中文摘要：

在可重入冷拔无缝钢管生产的计划和调度中,根据四个条件对工件进行组批,通过规则假设把组批后的批钢管看作单个加工工件,建立以最后完工时间、交货期满意度和机器总负荷为目标的多目标组批排序优化模型,设定其约束条件,采用基于Pareto的混合遗传算法对模型进行优化求解.通过算例证明该模型的有效性和合理性.

英文摘要：

In order to make planning and scheduling for cold-drawn seamless steel tube re-entrant lines, workpieces were grouped together according to four conditions, then the grouped steel tubes were taken as one workpiece through the assumption of conditions. The model of multi-objective order-grouping scheduling optimization was studied, where the final completion time, the delivery satis-faction and the total load of machine were concerned. In addition, the constraint conditions were put forward. The Pareto-based hybrid genetic algorithm was used to make the optimal solution of the model. The effectiveness and rationality of the optimization model was proved by an example.