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信息完全下的经典报童模型是单周期库存管理的核心控制方法,联合定价、订货决策是提高报童模型运作效率的主要手段.Scarf创造性地构建了部分信息下的鲁棒报童模型,但鲁棒联合定价、订货问题由于其困难程度,长期困扰着运作管理学者.本论文在“做和型”随机价格需求函数条件下部分地解决了该问题.在报童仅获知不确定需求的均值与方差的假设下,我们建立了Worstcase型的鲁棒联合定价、订货模型,并在适当的条件下给出了联合决策的闭环最优解.数值实验证实了联合的鲁棒定价与订货决策较大幅度地改善了Scarf鲁棒订货模型的运作效率.该模型能较好地适应于新产品供应链等信息缺失下的企业运作管理.
The classical newsboy model with complete information is the core control method of single-cycle inventory management, and joint pricing and order decision-making are the main means to improve the operation efficiency of newsboy model.Scarf creatively build robust newsboy model under partial information, Pricing and ordering problems have plagued operations management scholars for a long time due to their difficulties.This paper partially solves the problem under the condition of stochastic price demand function of “doing and type”. When the newsboy learns only the mean and variance of uncertain demand , We establish the Worstcase-type robust co-pricing and ordering model and give the closed-loop optimal solution of the joint decision-making under the appropriate conditions.Numerical experiments show that the joint robust pricing and ordering decisions are more significant Improve the operational efficiency of Scarf Robust Ordering Model.The model can be well adapted to the operation and management of enterprises under the absence of information such as new product supply chain.