油田A类物资采购决策支持系统研究  

A decision support system for purchasing and inventory management of oilfield class-A materials

作　　者：刘若阳[1] 崔晋川[1] 

机构地区：[1]中国科学院数学与系统科学研究院,北京100080

出　　处：《运筹学学报》2013年第3期23-34,共12页Operations Research Transactions

基　　金：大庆油田物资集团项目(No.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(No.K729102261)

摘　　要：结合大庆油田物资公司在重要供应链管理环节,即采购、需求和库存中所面临的实际问题(物资需求增加、仓储压力增大、采购成本增多)及三者之间的相互作用,基于预测和优化理论,构建了针对油田A类物资的采购优化和库存管理决策支持系统原型,包括:预测模块、优化模块和方案调整评估模块,为相关部门制定合理物资采购方案提供决策支持.进一步,以银浪仓库中的4种A类物资为例,运用该原型系统进行数值模拟.结果表明,2009年和2010年4种物资的总成本节省率分别为10.35%和8.07%,效益可观.考虑到油田物资数据结构不完备及优化模型的复杂性,该原型系统在大庆油田大规模推广方面仍需进一步完善.In order to provide decision support for the material manager in Chinese Daqing oilfield in making rational purchasing plan to obtain the oilfield materials, considering the practical problems in ＂purchasing＂, ＂demand＂ and ＂inventory＂ and their interactions, such as demand increasing in materials demand, shortage in warehouse ca- pacity, and large growth in purchasing cost, this paper uses forecasting and optimization theory and constructs the decision support prototype system for purchasing and inventory management of oilfield class-A materials, which includes forecasting module, optimization module and adjustment and evaluation module. Furthermore, the numerical simulation using four kinds of materials in Yinlang warehouse shows 10.35%, 8.07% saving rate in 2009 and 2010 respectively. Finally, some improved suggestions on the system have been proposed in large-scale promotion in Chinese Daqing oilfield, such as dealing with the incomplete data, improving the prediction accuracy, designing fast algorithm to solve complicated model and completing the adjustment and evaluation module.

关 键 词：供应链管理 采购与库存管理决策支持系统 油田A类物资 ARIMA模型 能力 有限的多种物资批量问题 

分 类 号：F224[经济管理—国民经济]