摘要
由于季节性产品在特殊的时间段的消费需要,导致一些商品销售具有明显的淡旺季.平衡好产品在销售淡季和旺季的关系,才能降低决策风险,最大化盈利.针对季节性商品的特点,研究零售商与供应商之间多因素的制约关系以及商品的销售量与价格之间的函数关系,建立了具有淡旺季的商品定价模型,并设计了优化求解的遗传算法,仿真实例表明了结论的可行和有效.为进一步确定季节性销售商品的多约束、多目标和不确定因素的定价模型作了必要的准备.
Some seasonal goods have obvious sales midseason and off-season due to the consuming needs in some special periods of time. Balancing the relations of the goods in their off-season and midseason can help retailers to lower the decision risk and maximize the earnings. The restricted relationship between retailers and suppliers is analyzed, and the relationship between price and quantity is studied. And then a pricing model of off-season and midseason is established and an algorithm based on GA is designed. Finally, an example is simulated and the effectiveness of the algorithm is presented. This study is essential for further improvement of pricing models with multi-restraints multiple target and uncertain factors.
出处
《沈阳工业大学学报》
EI
CAS
2005年第5期579-581,599,共4页
Journal of Shenyang University of Technology
基金
国家自然科学基金管理科学部重点项目资助(70431003)
关键词
季节性商品
定价模型
淡季
旺季
遗传算法
seasonal goods
pricing model
off-season
midseason
genetic algorism
