Abstract
To solve the suppliers' support problem of online reverse combinatorial multi-attribute auction based on bundling, a bundling confirmation model and suppliers' bidding strategy are proposed based on the scientometrics bundling algorithm and the analysis of suppliers' bidding behavior in order to maximize the revenue of the suppliers. After that, an illustration for this model is presented, and the result shows that this model can significantly improve the suppliers' revenue and reduce the negative effect from the asymmetric information during the auction.
| Original language | English |
|---|---|
| Pages (from-to) | 95-100 |
| Number of pages | 6 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 43 |
| Issue number | 9 |
| State | Published - Sep 2011 |
| Externally published | Yes |
Keywords
- Bidding strategy model
- Combinatorial multi-attribute auction
- Decision support
- Reverse auction
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