CAJ | 학술논문

摘要：炼钢-连铸生产计划分为生产批量计划和生产时间计划两类。传统的方法是将原本密切相关的两类计划单独编制，导致编制炼钢-连铸生产计划时，在优化目标的设置和优化变量的选取等方面出现缺乏全局性考量的问题。作者分析了炼钢-连铸生产调度的层次性特点，将求取两类计划的问题描述为一种具有二层递阶结构的决策优化问题，在同一模型中针对两类计划展开研究，建立了基于二层规划的智能调度模型。其中，上层规划解决浇次组合、排序和分配问题；下层规划解决在浇次计划已知的前提下寻求优化的生产时间计划问题。应用遗传算法分别求解二层规划中的上、下层子问题。仿真算例表明了该智能调度二层规划方法的有效性。
적요：련강-련주생산계화분위생산비량계화화생산시간계화량류。전통적방법시장원본밀절상관적량류계화단독편제，도치편제련강-련주생산계화시，재우화목표적설치화우화변량적선취등방면출현결핍전국성고량적문제。작자분석료련강-련주생산조도적층차성특점，장구취량류계화적문제묘술위일충구유이층체계결구적결책우화문제，재동일모형중침대량류계화전개연구，건립료기우이층규화적지능조도모형。기중，상층규화해결요차조합、배서화분배문제；하층규화해결재요차계화이지적전제하심구우화적생산시간계화문제。응용유전산법분별구해이층규화중적상、하층자문제。방진산례표명료해지능조도이층규화방법적유효성。
Abstract： The production plan for steelmaking and continuous casting can be divided into two catego- the problem is described as an decision optimization problem with bi-level hierarchy. Further, an in- telligent bi-level programming scheduling model is established, and both plans are contained in the same model. Cast grouping, ordering and distribution problems are solved in upper layer, and optimi- zing scheduling plan is sought based on known cast plan in lower layer. Genetic algorithm （GA） is ap- plied to solve sub-problems on upper and lower layers. Finally, simulation of numerical example is performed to verify the correctness of the purposed model and algorithm.