动态定价与存货控制: 理论模型与实证分析

项目名称： 动态定价与存货控制: 理论模型与实证分析

项目编号： No.71271131

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 管理科学

项目作者： 陈宏

作者单位： 上海交通大学

项目金额： 56万元

中文摘要： 所提议的研究课题关注动态定价与库存控制，包括理论模型分析及实证研究。首先，我们考虑一个包含时变采购成本的经济批量模型。相应采购成本时间函数的复杂性，我们将找最优订购数量的明确公式、近似公式、及结构属性。这将有助于指导上游准备产能或材料采购。第二项研究针对库存模型的定价和存货控制，将把有关积压模型的现有研究结果延伸至销量流失模型。这项延伸令模型假设更具现实性。另一个重要课题是针对新产品扩散的动态定价与库存控制。其特点是产品的当前销量依赖于价格及以往累计销量。这将对现有的产品扩散流程经典文献加以延伸和补充，因为后者并没有考虑生产成本及存货因素。最后一个研究课题是实证研究。包括两个方面：一是对以上的理论模型进行实证验证。二是研究价格、存货和销量之间的相互作用与依赖关系。这项研究将验证和支持定价和库存控制文献中的分析成果；更为重要的是，它将为未来相关模型假设和模型参数的研究提供适宜的基础和指导。

中文关键词： 存货控制；动态定价；供应链竞争；工厂物理原理；策略优化

英文摘要： Our proposal is motivated by the innovative supply chain management practics of inventory-based pricing in the last two decades. The first topic of the proposed research is to extend the classical EOQ model to the case where the procurement cost varies over time. We hope to find the optimal economic order quantity for the simple case, the approximate optimal order quantity and the structure result for more general case. The result would be very useful for the upstream firm planning for its raw materials and production capacity. The second model considers a well-studied joint dynamic pricing and inventory control problem where the demand depends on price and varies with time. The existing literature considers two cases: lost sale case where unmet demand is lost, and backlogged case where unmet demand is backlogged to the next period. While the lost sale case is more realistic (at least for most applications), it is analytically more difficult. Building upon our recent work on the backlogged case, we propose to extend it to the lost sale case and establish more realistic condition for the optimality of a structured (which is known as (s,S,p)) control policy. The third area of our proposed research relates to the marketing literature on the new product diffusion. In this literature, the current demand (or the diff

英文关键词： Inventory control；dynamic pricing；supply chain competition；factory physics principles；optimal policy