引用本文:刘士新,宋健海,王梦光.钢铁企业按订单生产模式下合同池优化[J].控制理论与应用,2005,22(4):653~656.[点击复制]
LIU Shi-xin, SONG Jian-hai, WANG Meng-guang.Order pool optimization for make-to-order production in steel plant[J].Control Theory and Technology,2005,22(4):653~656.[点击复制]
钢铁企业按订单生产模式下合同池优化
Order pool optimization for make-to-order production in steel plant
摘要点击 1183  全文点击 1400  投稿时间:2004-02-23  修订日期:2004-09-27
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DOI编号  10.7641/j.issn.1000-8152.2005.4.028
  2005,22(4):653-656
中文关键词  按订单生产  合同计划  向导局域搜索
英文关键词  make-to-order  order planning  guided local search
基金项目  国家自然科学基金资助项目(70301007); 国家863计划CIMS主题资助项目(2002AA412010); 辽宁省博士启动基金资助项目(20021011).
作者单位
刘士新,宋健海,王梦光 东北大学信息科学与工程学院,辽宁沈阳110004
上海宝信软件股份有限公司MES事业部,上海201900 
中文摘要
      基于对钢铁企业按订单生产模式下合同月计划编制策略、约束条件和优化目标的研究,建立了合同月计划优化模型.模型以最大化编入计划的加权合同重量为优化目标,综合考虑了设备能力和合同月计划中各种产品规格、品种比例限制等约束.采用惩罚函数法将约束最优化模型转换为无约束最优化模型.设计了求解模型的向导局域搜索算法.以某钢铁企业的实际合同月计划问题作为实例,对模型和算法进行了系统地验证,计算结果表明模型和算法在优化效果和运算效率方面均优于该企业现有合同计划系统.
英文摘要
      A monthly order plan optimization model is formulated based on the studies on the monthly order planning strategies,constraints and objectives under make-to-order (MTO) management mode in steel plant.The model objective is to maximize the total weighted-sum order weights compiled in the monthly order plan.Production capacity constraints and proportion relations between product sizes and varieties are synthetically taken into consideration in the model.The penalty function approach is used to transform the constrained optimization model into a non constrained one.A guided local search (GLS) algorithm is designed to solve the model.Taking a practical monthly order planning problem as an example,the model and algorithm are systematically tested for performance,and computation result shows that the model and algorithm outperform the existing order planning system of the plant.