价格波动下钢铁企业原材料采购多期优化模型  

Raw material purchasing multi-period optimization model with fluctuating prices in steel enterprise

作　　者：伍景琼[1,2] 蒲云[2] 伍锦群[3] 

机构地区：[1]昆明理工大学交通工程学院,昆明650504 [2]西南交通大学交通运输与物流学院,成都610031 [3]娄底职业技术学院电子信息工程系,湖南娄底417000

出　　处：《控制与决策》2013年第9期1382-1388,共7页Control and Decision

基　　金：国家自然科学基金项目(70971017);湖南省高校科学研究项目(11C1065);云南省人才培养项目(KKSY201302033)

摘　　要：考虑钢铁企业原材料需求、采购提前期及价格波动的影响,建立原材料采购的多期优化模型,最小化单位采购成本并保证原材料的供应.由于模型求解困难,将其分解为多个子模型,并采用改进的粒子群算法进行求解.最后以某钢铁企业铁矿石采购优化为案例,表明多期优化决策比单期最优经济采购决策和以补充库存为目的的采购策略更优.Considering the impact of fluctuating demand,stochastic lead time and prices in the raw material procurement,a purchasing multi-period optimization model is established for minimizing the unit purchasing cost and ensuring the supply of raw material.To reduce the difficulty of problem solving,the model is decomposed into several sub-models.An improved particle swarm algorithm is proposed to solve the sub-models.Finally,taking a steel enterprise as an example,the results show that the unit purchasing cost of multi-period joint optimization is lower than the single period economic batch purchasing and the procurement strategy for stock replenishment.

关 键 词：钢铁企业 原材料采购 价格波动 多期优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]