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机构地区:[1]河北经贸大学数学统计学学院 [2]华南理工大学工商管理学院,广州510641
出 处:《系统工程理论与实践》2008年第5期47-54,共8页Systems Engineering-Theory & Practice
基 金:中国博士后科学基金(20060400221);教育部人文社会科学研究青年基金(07JC630059)
摘 要:对买方市场中一个买家多个卖家的反向拍卖,讨论了网络环境下的在线反向拍卖,即卖家在不同时间到达并投标而买家收到每个投标后需要立即做出是否购买的决策.对于选择一家供应商购进所需商品的一次性购买,提出了在线均值定价策略以及在线随机定价策略,说明了这两种在线定价策略利用了市场的价格信息定价,克服了静态单一定价造成的完不成采购任务或不必要的成本浪费等缺陷,而且对这两种定价策略进行了竞争分析,得到了竞争比.最后,通过实例说明文中提出的在线均值定价策略及在线随机定价策略的可操作性.For the problem of reverse auction which includes one buyer and multiple sellers, we study online reverse auctions which are in a setting of internet where the different bidders arrive at different times and the reverse auction mechanism is required to make decisions about each bid as it is received. We present an online mean pricing strategy and an online random pricing strategy for the reverse auction where the buyer wants to buy merchandise from one supplier. We expand the merits of the two strategies which can avoid the results of failure of purchase or additional cost used by the static single price. Furthermore, the competitive analyses of the two online pricing strategies are discussed, and the competitive ratios are obtained. Finally, the maneuverability of the two online pricing strategies is illuminated by examples.
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