时变需求下非等周期多阶段定价与订货量的问题

 日常生活中展示数量多的季节性产品往往比展示数量少的更能吸引顾客，这种现象说明需求跟库存水平是正相关的。同时由于其季节性，往往在不同销售阶段需重新设定零售价来促进销售，实现最大利润。本文研究了在有限计划期内时变需求下多阶段非等周期定价与订货量问题，基于产品需求与产品零售价和产品库存有关的假设，建立总利润模型，通过优化方法，确定最优订货量和最优定价，实现总利润的最大化，最后通过数值算例对模型进行了验证。

Research on non-periodic multi-stage pricing and ordering strategy with time-varying demand

In the daily life,seasonal products attract customers through rich and colorful displays that simulate the buying desire of customers.At the same time,owing to the seasonal nature,a firm often resets its selling price in different stages to promote sales and maximize the profit.This paper considers the pricing and ordering strategy at non-periodic multi-stage with time-varying demand within a finite planning time,and develops a profit model assuming that the demand is price and stock dependent,in which the firm can reset price to spur the demand.The purpose is to maximize the profit by using the optimization to determine the optimal ordering quantity and the optimal prices.Finally some numerical examples are presented to verify the models.