摘要
基于对钢铁企业MTO管理模式下合同计划的编制策略、约束条件和优化目标的研究,建立了合同计划优化模型.模型综合考虑了拖期惩罚费用、设备能力均衡利用和库存成本等优化目标,并采用加权法将多目标优化模型转换为单目标优化模型.针对模型的特点设计了求解模型的特殊PSO算法.以某钢铁企业的实际合同计划问题作为实例,在算法不同参数组合下进行了系统的测试,实验结果表明模型和算法是令人满意的.
An order planning optimizing model is formulated based on studies on the order planning strategies, constraints and objectives under make-to-order (MTO) management mode in steel plant. The multiple objectives including minimizing tardiness cost, balancing utility of capacities and minimizing inventory cost are taken into account in the model. The weighted-sum approach is used for transferring the multi-objective model into a single objective one. Specific particle swarm optimization (PSO) algorithm is designed to solve the model. Taking a practical order planning problem as instance, different parameter combinations are systemically tested for effectiveness and efficiency of the algorithm. The results show that the model and algorithm are satisfactory.
出处
《控制与决策》
EI
CSCD
北大核心
2004年第4期393-396,401,共5页
Control and Decision
基金
国家自然科学基金资助项目(70002009
70301007)
国家863计划CIMS主题项目(2002AA412010)
辽宁省博士启动基金资助项目(20021011)
沈阳市自然科学基金资助项目(1022036-1-04).
关键词
依订单生产
合同计划
多目标
颗粒群最优化
Algorithms
Iron and steel plants
Java programming language
Operations research
Optimization
Planning
