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中国管理科学 ›› 2019, Vol. 27 ›› Issue (6): 123-135.doi: 10.16381/j.cnki.issn1003-207x.2019.06.012

• 论文 • 上一篇    下一篇

基于需求预测和模块化的应急物资库库联动方法研究

魏宇琪, 杨敏, 梁樑   

  1. 合肥工业大学管理学院, 安徽 合肥 230009
  • 收稿日期:2017-12-16 修回日期:2018-04-14 出版日期:2019-06-20 发布日期:2019-07-01
  • 通讯作者: 杨敏(1986-),男(汉族),安徽霍山人,合肥工业大学管理学院,副教授,研究方向:应急物流、绩效评价等,E-mail:yangmin@hfut.edu.cn. E-mail:yangmin@hfut.edu.cn
  • 基金资助:
    国家重点研发计划资助项目(2016YFC0803200);国家自然科学基金青年资助项目(71601067);中央高校基本科研业务费专项资金资助项目(JZ2018HGTB0239);安徽省自然科学基金面上资助项目(1708085MG176);中国博士后科学基金面上资助项目(2017M612071)

Research on the Linkage Method of Relief Materials Warehouse Based on Demand Forecasting and Modularization

WEI Yu-qi, YANG Min, LIANG Liang   

  1. School of Management, Hefei University of Technology, Hefei 230009, China
  • Received:2017-12-16 Revised:2018-04-14 Online:2019-06-20 Published:2019-07-01

摘要: 本文从应急物资预储体系整体优化的角度出发,研究应急物资在国家库之间联动的方法。综合考虑了物资的需求不确定性、模块化和时效性等性质,以应急物资预储调整方案总成本最小为目标,构建一个基于机会约束规划的线性库库联动模型。最后,我们将该方法应用到我国20个中央级应急物资储备库进行的物资预储水平模拟调整中,在相同的物资保障水平下较大幅度的降低了预储调整的成本。

关键词: 需求预测, 模块化, 应急物资, 预储调整

Abstract: The management of relief materials is an interesting research area of the relief management. However, most of existing researches relative to relief materials management focus on the state of inventory level of relief materials and the distribution and supplement of materials, but without respect to the modularity and timeliness of materials. That is, the existing researches maybe unserviceable for modular relief materials management, and cannot improve the value-in-use of materials. Therefore, in this paper, an alternative chance-constrained programming is proposed for the redistribution and supplement of relief materials which can be transformed as a linear programming, under the assumption that the distribution of the demand at each warehouse is known. The objective of the proposed model is minimize the cost of redistribution and supplement of relief materials, and the mainly constraint is guarantee the materials demand can be satisfied under a certain stated probability. Finally,the proposed method is applied to the prestore adjustment of 20 National relief material warehouses of China, and the results show that the proposed method can greatly reduced the cost of prestore adjustment under the same level of material support.

Key words: demand forecasting, modularization, relief materials, prestore adjustment

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