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从提高炼钢-连铸作业计划可执行性的角度,研究了能适应动态生产环境变化的作业计划编制方法。在考虑连铸机的连浇约束、炼钢-连铸生产工艺要求和作业时间不确定性的条件下,建立了以最小化工位作业冲突时间和尽可能早的安排连铸机开浇时间为目标的炼钢-连铸生产作业计划优化模型,并构建了一种分段实数编码和基因分区交叉操作的改良遗传算法,将其与沿生产流程时间并行倒推算法相结合形成优化算法来求解模型。某钢厂8 h的炼钢-连铸作业计划编制案例表明:建立的模型与求解算法能较好地解决炼钢-连铸作业计划的时间不确定性优化问题,可快速生成炉次间作业无冲突的优化生产作业计划。
From the perspective of improving the enforceability of steelmaking - continuous casting operation planning, the paper studies the preparation method of work planning which can adapt to the change of dynamic production environment. Taking into account the continuous casting and casting machine constraints, steelmaking - continuous casting production process requirements and uncertainty of operating conditions, the establishment of a minimum job station conflict time and as early as possible to arrange the caster pouring time is The goal of steelmaking - continuous casting production planning optimization model and the construction of a segmentation of real coding and gene partitioning crossover improved genetic algorithm, which along with the production process time parallel back-up algorithm to form an optimization algorithm to solve the model . The case of a 8 h steelmaking and continuous casting operation plan of a steel mill shows that the established model and solving algorithm can well solve the time uncertainty optimization problem in the steelmaking and continuous casting operation plan and can quickly generate intergranular operations Conflict-free optimization of production planning.