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随机供应中断和退货环境下库存的应急控制

娄山佐 田新诚

娄山佐, 田新诚. 随机供应中断和退货环境下库存的应急控制. 自动化学报, 2015, 41(1): 94-103. doi: 10.16383/j.aas.2015.c140140
引用本文: 娄山佐, 田新诚. 随机供应中断和退货环境下库存的应急控制. 自动化学报, 2015, 41(1): 94-103. doi: 10.16383/j.aas.2015.c140140
LOU Shan-Zuo, TIAN Xin-Cheng. Contingent Control of Inventory under Stochastic Supply Disruptions and Returns. ACTA AUTOMATICA SINICA, 2015, 41(1): 94-103. doi: 10.16383/j.aas.2015.c140140
Citation: LOU Shan-Zuo, TIAN Xin-Cheng. Contingent Control of Inventory under Stochastic Supply Disruptions and Returns. ACTA AUTOMATICA SINICA, 2015, 41(1): 94-103. doi: 10.16383/j.aas.2015.c140140

随机供应中断和退货环境下库存的应急控制

doi: 10.16383/j.aas.2015.c140140
基金项目: 

国家高技术研究发展计划(863计划)(2012AA041307);国家科技重大专项(2010ZX04001-161);"泰山学者"建设工程专项经费资助

详细信息
    作者简介:

    田新诚 山东大学控制科学与工程学院教授.主要研究方向为运动控制,机电一体化,智能控制和优化. E-mail:txch@sdu.edu.cn

    通讯作者:

    娄山佐 山东大学控制科学与工程学院副教授.主要研究方向为复杂系统建模与仿真,库存控制,优化算法.本文通信作者.E-mail:Lshanzuo@163.com

Contingent Control of Inventory under Stochastic Supply Disruptions and Returns

Funds: 

Supported by National High Technology Research and Development Program of China (863 Program) (2012AA041307), National Science and Technology Major Project (2010ZX04001-161), and Research Fund for the Taishan Scholar Project of Shandong Province of China

  • 摘要: 随机供应中断和退货环境下库存变化, 失去传统上的单调性, 呈现复杂的随机波动状态, 从而, 极大地增加了控制难度. 为解决系统库存的短缺和超储问题, 本文提出一个应急控制(包括应急采购和应急处理)策略. 在库存水平的动态变化表示为Lévy过程条件下, 利用连续时间Markov链、更新过程和鞅理论, 构建了系统期望折扣总利润模型, 并设计了交叉熵法确定最优控制策略. 仿真结果表明, 中断强度和类型及退货批次和批量, 对最优应急处理水平和应急采购量均有较大影响. 而退货类型仅影响最优应急处理水平, 对最优应急采购量影响较小.
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出版历程
  • 收稿日期:  2014-03-11
  • 修回日期:  2014-07-31
  • 刊出日期:  2015-01-20

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