Dynamic pricing and inventory model for perishable products with reference price and reference quality

IF 2.1 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2024-11-05 DOI:10.1016/j.cam.2024.116338
Xuexue Chen , Cuilian You
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Abstract

Reference price (quality) is a benchmark point used by consumers to make price (quality) judgements. Combining reference price and reference quality with dynamic pricing and inventory management, this paper applies differential equations theory to construct a optimal control model for perishable products when the quality of products declines exponentially. The demand of products depends on price, quality, reference price and reference quality, among which reference price and reference quality are influenced by consumers’ past memory. The aim is to maximize the retailer’s profit during the period. The conclusions are as follows. Firstly, a optimal dynamic pricing and inventory model for perishable products with reference price and reference quality is constructed, and the model is extended to dual decision variables, stochastic demand, time-dependent effects, competitive and infinite planing horizon setups. Secondly, through the Pontryagin maximum principle, the analytical expression of the optimal dynamic price is derived. Thirdly, a linear search method to solve the optimal static price is proposed. Finally, the sensitivity of the main parameters is analyzed and the corresponding management enlightenments are given. By comparison of dynamic and static pricing, we find that dynamic pricing can achieve more profits and take a shorter selling period. In addition, for the sales problem of perishable products affected by both reference price and reference quality, retailers should adopt skimming pricing strategy (the optimal price decreases with time). Furthermore, to obtain more profit, retails should strive to increase the sensitivity coefficients of two types of reference, and the reference quality memory coefficient, while to decrease the reference price memory coefficient.
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具有参考价格和参考质量的易腐产品动态定价和库存模型
参考价格(质量)是消费者进行价格(质量)判断的基准点。本文将参考价格和参考质量与动态定价和库存管理相结合,运用微分方程理论构建了一个当产品质量呈指数下降时易腐产品的最优控制模型。产品需求取决于价格、质量、参考价格和参考质量,其中参考价格和参考质量受消费者过去记忆的影响。目的是使零售商在此期间获得最大利润。结论如下。首先,构建了具有参考价格和参考质量的易腐产品最优动态定价和库存模型,并将该模型扩展到双决策变量、随机需求、时间依赖效应、竞争和无限刨期设置。其次,通过庞特里亚金最大原则,推导出最优动态价格的解析表达式。第三,提出了求解最优静态价格的线性搜索方法。最后,分析了主要参数的敏感性,并给出了相应的管理启示。通过动态定价和静态定价的比较,我们发现动态定价可以获得更多的利润,而且销售周期更短。此外,对于同时受参考价格和参考质量影响的易腐产品销售问题,零售商应采取撇脂定价策略(最优价格随时间递减)。此外,为了获得更多利润,零售商应努力提高两种参考的敏感系数和参考质量记忆系数,同时降低参考价格记忆系数。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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