Abstract: Focusing on the current state that the waiting billets caused by die exchange lead to huge energy consumption in the continuous casting and hot charging process of iron and steel enterprises and combining the SMED and TAKT concepts and tools in lean production, a total cost model of the continuous casting and hot charging process is built considering cost of die exchange, energy consumption and customer satisfaction. Structural Genetic Algorithm is used to solve the problem. Practical data of an iron and steel company is applied to the model. The optimum solution is obtained. Also validity and feasibility of the model and the algorithm are examined. It builds a theoretical basis for energy saving through improving die exchange process.

Key words: continuous casting and hot charging, Single Minute Exchange of Die（SMED）, takt, structural genetic algorithm, energy saving

摘要： 针对能耗型钢铁企业连铸热轧由于工序换模导致钢坯等待而产生巨大能耗的现状，引入精益中的快速换模（SMED）及节拍（TAKT）思想，考虑连铸热轧中的换模成本、能耗成本以及客户需求，研究建立了连铸热轧的综合成本模型，通过结构式遗传算法对模型进行求解。以某钢铁企业的实际生产数据为例，求得了最优解，并验证了模型与算法的有效性和可行性，为钢铁企业通过改进换模实现节能提供了理论依据。

关键词: 连铸热轧, 快速换模, 节拍, 结构式遗传算法, 节能