运筹与管理 ›› 2014, Vol. 23 ›› Issue (5): 48-54.

• 理论分析与方法探讨 • 上一篇    下一篇

考虑风险偏好的动态生产库存问题的鲁棒优化模型

李春发1,2, 徐伟1, 朱丽1   

  1. 1.天津理工大学 理学院,天津 300384;
    2.天津理工大学 管理学院,天津 300384
  • 收稿日期:2012-12-12 出版日期:2021-05-25
  • 作者简介:李春发(1968-),男,湖南郴州人,博士,教授,研究方向:系统优化与决策分析; 徐伟(1986-),女,河北邢台人,硕士研究生,研究方向:最优化理论及应用。
  • 基金资助:
    天津市科技发展战略研究计划项目(12ZLZLZF06300)

Robust Optimization Model of Dynamic Production and Inventory Management Considering Risk Preference

LI Chun-fa1,2, XU Wei1, ZHU Li1   

  1. 1. School of Science, Tianjin University of Technology, Tianjin 300384, China;
    2. School of Management, Tianjin University of Technology, Tianjin 300384, China
  • Received:2012-12-12 Online:2021-05-25

摘要: 不同阶段需求不确定情况下,决策者的风险偏好和生产过程中的废品处理影响着供应链生产库存管理和供应链整体效益。本文考虑决策者风险偏好下,构建了包含I个生产者企业,一个库存点和一个废物处理基地的T阶段动态供应链生产库存框架,建立了椭球型需求不确定集下,以追求整体收益最大化为目标的不确定优化模型,并应用鲁棒优化理论得到了数据确定性线性鲁棒对应模型,讨论了模型解的可靠性和有效性。最后的算例表明,只有当决策者风险偏好参数在一定范围内时,才会存在满足条件且具有较高可靠性的鲁棒决策,验证了该鲁棒优化模型的合理性。

关键词: 动态生产库存管理, 鲁棒优化, 风险偏好, 椭球不确定集

Abstract: Under the circumstance of demand uncertainty in diverse stages, the production and inventory management and the entire benefits of supply chain are affected by the risk preference of decision makers and the waste disposal during productive process. Taking the risk preference of decision makers into account, this paper constructs a framework of the T-stage dynamic production and inventory of the supply chain, and this framework contains I-producer enterprises, one warehouse and one Waste Disposal Site Base(WDB); then the uncertainty optimization model which aims at maximizing overall revenue is established based on the ellipsoidal set of uncertain demand. By using the robust idea, we translate the uncertain optimization model into one deterministic linear robust counterpart. We also discuss the reliability and validity of the model. The final numerical results show that there are robust strategies with high reliability only when the parameter of risk preference is valued in a particular range. It also proves the reasonability of this robust optimization model.

Key words: dynamic production and inventory management, robust optimization, risk preference, joint ellipsoid uncertainty set

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