An optimal pricing policy under a Markov chain model

被引：1
|
作者：
Liu, Ruyi [1 ]
Tie, Jingzhi [2 ]
Wu, Zhen [1 ]
Zhang, Qing [2 ]
机构：
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
[2] Univ Georgia, Dept Math, Athens, GA 30602 USA
来源：
SCIENCE CHINA-MATHEMATICS | 2022年 / 65卷 / 05期
基金：
中国国家自然科学基金;
关键词：
pricing control; Markov chain model; threshold policy; COORDINATING INVENTORY CONTROL; FIXED ORDERING COST; DIFFUSION DEMANDS; COMPOUND POISSON; IMPULSE CONTROL; STRATEGIES; MANAGEMENT;
D O I：
10.1007/s11425-020-1799-2
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper is about an optimal pricing control under a Markov chain model. The objective is to dynamically adjust the product price over time to maximize a discounted reward function. It is shown that the optimal control policy is of threshold type. Closed-form solutions are obtained. A numerical example is also provided to illustrate our results.
引用
收藏
页码：1065 / 1080
页数：16
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