摘要
日常生活中季节性产品往往通过丰富的展示来吸引顾客,以激发顾客的购买需求。同时由于其季节性,往往会在不同销售阶段需重新设定零售价来促进销售,以实现利润的最大化。为此,研究了在有限计划期内时变需求下,多阶段非等周期的定价与订货量问题,基于产品需求与产品零售价以及产品库存相关的假设,通过重置价格来带动需求,建立总利润模型,并运用优化方法,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。
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.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2012年第1期132-137,共6页
Journal of Textile Research
基金
国家自然科学基金资助项目(11071220)
浙江省自然科学基金资助项目(Y6110091
Y6090554
Y6090175)
关键词
时变需求
库存
非等周期定价
重置价格
最优订货量
time-varying demand
stock
non-periodic pricing
reset price
optimal ordering quantity
