2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

随机供应中断和退货环境下库存问题的建模与控制

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问题的建模与控制. 自动化学报, 2014, 40(11): 2436-2444. doi: 10.3724/SP.J.1004.2014.02436
引用本文: 娄山佐, 田新诚. 随机供应中断和退货环境下库存问题的建模与控制. 自动化学报, 2014, 40(11): 2436-2444. doi: 10.3724/SP.J.1004.2014.02436
LOU Shan-Zuo, TIAN Xin-Cheng. Modeling and Control for Inventory with Stochastic Supply Disruptions and Returns. ACTA AUTOMATICA SINICA, 2014, 40(11): 2436-2444. doi: 10.3724/SP.J.1004.2014.02436
Citation: LOU Shan-Zuo, TIAN Xin-Cheng. Modeling and Control for Inventory with Stochastic Supply Disruptions and Returns. ACTA AUTOMATICA SINICA, 2014, 40(11): 2436-2444. doi: 10.3724/SP.J.1004.2014.02436

随机供应中断和退货环境下库存问题的建模与控制

doi: 10.3724/SP.J.1004.2014.02436
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, 智能控制系统.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

Modeling and Control for Inventory with Stochastic Supply Disruptions and Returns

Funds: 

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

  • 摘要: 供应中断和退货的不确定性,导致企业库存控制异常困难.然而,由于系统存在多个随机因素,采用传统方法很难构建模型,所以,以往均将供应中断和退货分开考虑.为综合分析它们对库存的影响,本文在采用布朗运动描述库存水平动态变化过程条件下,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费用模型,并设计了交叉熵法确定最优库存策略.最后,通过仿真实验,分析了供应中断、净需求和系统参数,对最优控制策略和期望费用的影响.
  • [1] Kleindorfer P R, Saad G H. 2005. Managing disruption risks in supply chains. Production and Operations Management, 2005, 14(1): 53-68
    [2] Lou Shan-Zuo, Wu Yao-Hua, Lv Wen. Study on inventory control under stochastic disruptions. Acta Automatica Sinica, 2010, 36(7): 999-1006(娄山佐, 吴耀华, 吕文. 随机中断环境下的库存控制研究. 自动化学报, 2010, 36(7): 999-1006)
    [3] Ahiska S S, Appaji S R, King R E, Warsing J D P. A Markov decision process-based policy characterization approach for a stochastic inventory control problem with unreliable sourcing. International Journal of Production Economics, 2013, 144(2): 485-496
    [4] Yan X M, Liu K. An inventory system with two suppliers and default risk. Operations Research Letters, 2009, 37(5): 322-326
    [5] Qi L. A continuous-review inventory model with random disruptions at the primary supplier. European Journal of Operational Research, 2013, 225(1): 59-74
    [6] Chen J L, Zhao X B, Zhou Y. A periodic-review inventory system with a capacitated backup supplier for mitigating supply disruptions. European Journal of Operational Research, 2012, 219(2): 312-323
    [7] Östlin J, Sundin E, Bjorkman M. Importance of closed-loop supply chain relationships for product remanufacturing. International Journal of Production Economics, 2008, 115(2): 336-348
    [8] Ofek E, Katona Z, Sarvary M. "Bricks and clicks": the impact of product returns on the strategies of multichannel retailers. Marketing Science, 2011, 30(1): 42-60
    [9] Chen J, Bell P C. Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy. European Journal of Operational Research, 2011, 212(2): 293-300
    [10] Mitra S. Inventory management in a two-echelon closed-loop supply chain with correlated demands and returns. Computers and Industrial Engineering, 2012, 62(4): 870-879
    [11] Shulman J D, Coughlan A T, Savaskan R C. Managing consumer returns in a competitive environment. Management Science, 2011, 57(2): 347-362
    [12] Karakayali I, Akcali E, Cetinkaya S, Üster H. Capacitated replenishment and disposal planning for multiple products with resalable returns. Annals of Operations Research, 2013, 203(1): 325-350
    [13] Berman O, Perry D, Stadje W. An (s, r, S) diffusion inventory model with exponential lead time and order cancellations. Stochastic Models, 2008, 24(2): 191-211
    [14] Yao D C. Optimal policy for Brownian inventory models with general convex inventory cost. Acta Mathematicae Applicatae Sinica, 2013, 29(1): 187-200
    [15] Cadenilias A, Lakner P, Pinedo M. Optimal control of a mean-reverting inventory. Operations Research, 2010, 58(6): 1697-1710
    [16] Kell O, Whitt W. Useful martingales for stochastic storage processes with Lévy input. Journal of Applied Probability, 1992, 29(2): 396-403
    [17] Kyprianou A E. Introductory Lectures on Fluctuations of Lévy Processes with Application. New York: Springer-Verlag LLC, 2006. 75-83
    [18] Asmussen A, Kella O. A multi-dimensional martingale for Markov additive processes and its applications. Advance in Applied Probability, 2000, 32(2): 376-393
    [19] Kroese D P, Porotsky S, Rubinstein R Y. The cross-entropy method for continuous multi-extremal optimization. Methodology and Computing in Applied Probability, 2006, 8(3): 383-407
  • 加载中
计量
  • 文章访问数:  1617
  • HTML全文浏览量:  44
  • PDF下载量:  745
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-03-07
  • 修回日期:  2014-02-12
  • 刊出日期:  2014-11-20

目录

    /

    返回文章
    返回