Joint inventory and pricing control with lagged price responses
研究了单阶段多周期中需求受当前和过去价格影响的联合库存与定价问题，证明了最优策略是状态依赖的标价基础库存策略，并通过数值实验分析了滞后价格反应的影响。
This paper studies the single stage, multiple period joint inventory and pricing planning problem with lagged price response. We prove that the optimal joint inventory and pricing policy takes the form of a state dependent list price base stock policy for the additive linear demand function with a first order auto-regressive distributed lag. Both the base stock level and the list price decisions are determined as functions of the effective price, which captures the current and past pricing impacts. Numerical studies are conducted to examine the impact of the lagged price response on the optimal decisions and the total profit.