季节性商品的促销定价模型与算法

研究了季节性商品在促销前提下的定价问题.在综合考虑季节性商品的销售特点、销售折扣率、商品库存、商品周期衰退、商品价格等问题的基础上,建立了以利润损失最小为目标的动态定价模型,以商家需处理的货物量为约束条件,基于改进遗传算法和粒子群算法,找到了成本最优的商品定价.并通过仿真,分析了商品定价对利润损失的影响,为大中型企业的促销决策提供了重要依据.

Model and Algorithm of Promotional Pricing for Seasonal Commodities

The promotional pricing of seasonal commodities is studied taking account of their sales characteristics,discount rates,inventories,cyclical slump,real price,and so on.A dynamic pricing model is thus developed to minimize the loss of profit on a restricted condition that the volume of goods is needed to sell off. By the genetic algorithm and particle swarm,a pricing is given with optimal cost.The effect of pricing on loss of profit is analyzed through a simulation so as to provide an important reference for promotional decision-making in large/middle-scale companies.