Bidding Decision on Open Group-buying Online Auction Based on Multi-price Levels

被引：0
|
作者：
Bai Xiao-hong [1 ]
Deng Gui-shi [1 ]
机构：
[1] Dalian Univ Technol, Inst Syst Engn, Dalian 116024, Peoples R China
来源：
WMSO: 2008 INTERNATIONAL WORKSHOP ON MODELLING, SIMULATION AND OPTIMIZATION, PROCEEDINGS | 2009年
关键词：
Group-buying; multi price levels; uncertain arrival information; bidding strategy;
D O I：
10.1109/WMSO.2008.8
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Group-buying online auction (GBA) is a new kind of dynamic pricing mechanisms. Most of researches on the GBA focus on B2C, and the researches under the B2B just focus on two price levels without considering multi price levels. To solve this problem, this paper analyzes the bidder's optimal decision with the case that each bidder bids independently based on the B2B open group-buying online auction, with which, the seller will sell products to the bidders with the certain arrival information, and obtains the bidder's optimal bidding decision based on the idea of newsboy model. Compared to the bidding decision under the fixed price, the bidder's optimal bidding decision with certain arrival information under multi price levels is much better.
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页码：247 / 250
页数：4
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