基于最小购买模式的多产品定价方法  

Multi-product Pricing Method Based on Min-buying Pattern

作　　者：万福才[1] 王伟 

机构地区：[1]大连理工大学信息与控制研究中心

出　　处：《控制工程》2008年第1期110-112,共3页Control Engineering of China

基　　金：国家自然科学基金资助项目(60274027);辽宁省自然科学基金资助项目(20042001)

摘　　要：通过与顾客的在线交互,电子商务网站能够获得消费者反馈的有关参考数据。这些有效的数据结合完善的分析工具可使企业通过价格的优化来增加效益。基于这些有效数据研究了多产品定价问题,其中,给定消费者有关产品的参考数据(包括预算和定购产品列表),通过设定一个企业多个产品的价格,极大化企业的总收益;提出了基于最小购买模式的多产品定价问题模型,设计了针对该模型的遗传算法。仿真实例证明了该模型的有效性。Through interaction with online consumers, e-commerce websites can gather data reflecting consumer preferences. The available data on consumer preferences together with sophisticated analytical tools enables company increase in profit through optimization of prices. The mnlti-product pricing problem is studied based on this available data, giving consumer preferences among products, budgets, and order list of production, the goal prices of multiple products are set to maximize the overall revenue of the company. To this problem, a mixed integer programming model based on min-buy pattern of mnlti-product pricing is presented. The genetic algorithms is proposed to this model. Simulation example shows that this model is effective.

关 键 词：多产品定价 电子商务 遗传算法 替代产品 混合整数规划 

分 类 号：TP224[自动化与计算机技术—检测技术与自动化装置]