部分积压短缺情况下梯形需求的最优定价和订购政策

IF 6.6 1区 计算机科学 Q1 Multidisciplinary
Chunming Xu;Mingfei Bai;Chenchen Wu;Qiyue Wang;Yiwei Wang
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引用次数: 0

摘要

本研究以海澜之家的零售库存运作为基础,将价格因素纳入梯形时变产品的库存环境中。首先探讨了在固定销售周期内,部分积压缺货情况下变质商品的联合定价和订货问题。以库存系统利润最大化为目标,建立了相应的优化模型,并进一步提供了求解该模型的理论分析,其建模框架概括了现有研究中的一些库存模型。然后,设计了该模型的求解算法,以确定最优价格、初始订购量、短缺时间点和最大库存水平。最后,通过数值示例对模型进行了说明,结果表明了所提模型的稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Optimal Pricing and Ordering Policy with Trapezoidal-Type Demand Under Partial Backlogged Shortages
Based on the retail inventory operation of Heilan Home, this study incorporates the price factor into inventory environment involving trapezoidal time-varying products. A joint pricing and ordering issue with deteriorating items under partial backlogged shortages is firstly explored in a fixed selling cycle. The corresponding optimization model aiming at maximizing profit performance of inventory system is developed, the theoretical analysis of solving the model is further provided, and the modelling frame generalizes some inventory models in the existing studies. Then, a solving algorithm for the model is designed to determine the optimal price, initial ordering quantity, shortage time point, and the maximum inventory level. Finally, numerical examples are presented to illustrate the model, and the results show the robustness of the proposed model.
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来源期刊
Tsinghua Science and Technology
Tsinghua Science and Technology COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
10.20
自引率
10.60%
发文量
2340
期刊介绍: Tsinghua Science and Technology (Tsinghua Sci Technol) started publication in 1996. It is an international academic journal sponsored by Tsinghua University and is published bimonthly. This journal aims at presenting the up-to-date scientific achievements in computer science, electronic engineering, and other IT fields. Contributions all over the world are welcome.
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