摘要
本文结合大庆油田物资采购中的实际问题,考虑物资市场、需求、库存三方之间的不确定性和复杂性,分别讨论了物资采购价格时变、物资需求时变、以及不同仓储容量限制下的库存优化模型的研究进展。进一步,设计了针对大庆油田物资的采购及库存优化机制,并选取大庆油田实际采购中的4种A类物资,基于时间序列方法和0-1混合整数规划,分别对机制中的价格预测部分和策略优化部分进行了数值试算,结果表明,基于准确度较高的预测价格,运用混合0-1整数规划模型制定的多品种物资的最优联合采购策略,可以实现采购成本的节省,相比于4种物资2009年的实际采购成本,节约比率高达7.66%,同时价格预测的精度也得到了用户的认可。该机制为油田物资采购和库存优化管理项目中的辅助决策支持系统原型设计提供了参照。但考虑到大庆油田实际采购中的各种复杂因素的影响,还需进一步完善该优化机制,并对相关模型进行改进。
Combined with the practical problems in material purchasing of China Daqing Oilfield , considering the uncertainty and complexity in market , inventory , and demand of material procurement , this paper studies three kinds of inventory optimal methods respectively , including price time-varying, demand time-varying and invento-ry model under different capacity constraints .Furthermore, a mechanism in purchasing and inventory optimiza-tion is designed .Then , four kinds of materials are selected for simulation .The result shows that , based on the high forecasting accuracy of price , using the 0-1 mixed integer programming method , the optimal joint purcha-sing strategy for multi-item can reduce the procurement cost by 7.66%, and the forecasting result obtain a high evaluation form users .The mechanism can provide reference for the decision support system in the oilfield mate-rial purchasing and inventory optimization project .However , some improvements are still needed in the mecha-nism and models .
出处
《运筹与管理》
CSSCI
CSCD
北大核心
2013年第6期132-139,共8页
Operations Research and Management Science
基金
大庆油田物资集团项目(dqc-2010-xdgl-ky-002)
中国科学院管理
决策与信息系统重点实验室资助项目
关键词
运筹学
采购及库存优化
0-1混合整数规划
价格时变
需求时变
仓储有限
operational research
purchasing and inventory optimization
0 -1 Mixed integer programming
price time-varying
demand time-varying
capacity constraint
