钢铁企业按订单生产模式下合同池优化

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.

Order pool optimization for make-to-order production in steel plant

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.