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Combinatorial Coalition Formation for multi-item group-buying with heterogeneous customers

机译:异构客户进行多项目团购的组合联盟形成

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A group-buying market may offer multiple items with non-additive values (i.e., items may be complementary or substitutable), to buyers who are often heterogeneous in their item valuations. In such a situation, the formation of buying groups should concentrate buyers for common items while taking into consideration buyers' heterogeneous preferences over item bundles. Also, it should permit non-uniform cost sharing among buyers in the same group, which benefits all buyers by drawing more group-buying participants. We introduce the concept of Combinatorial Coalition Formation (CCF), which allows buyers to announce reserve prices for combinations of items. These reserve prices, along with the sellers' price-quantity curves for each item, are used to determine the formation of buying groups for each item. Moreover, buyers in the same group may not necessarily all pay the same price. The objective of CCF is to maximize buyers' total surplus.rnDetermining the optimal coalition configuration in CCF is NP-hard, and the stability of such a configuration relies on the cost sharing rule within each group. We thus propose a heuristic algorithm for CCF based on augmented greedy selections, along with a cost sharing rule satisfying certain stability properties. Simulation results show that our approximate algorithm generates fairly good solutions compared to the optimal results, and is greatly superior to a simpler distributed approach. Furthermore, our algorithm's performance is enhanced when items are complementary or strongly substitutable, especially in settings when the prices decrease either rapidly or slowly with the quantities. Evaluations of the sellers' revenue under CCF demonstrate that sellers should offer a more gradually decreasing price-quantity curve for complementary or strongly substitutable items, and a more abruptly decreasing curve for weakly substitutable items. In addition, sellers may benefit from greater sales generated by simpler price-quantity curves with fewer steps.
机译:团购市场可能会向具有不同价值的买家提供具有非附加价值的多个商品(即,商品可能是互补的或可替代的)。在这种情况下,购买群体的形成应使购买者集中购买共同的物品,同时要考虑购买者对物品束的不同偏好。此外,它应允许同一组买家之间的成本分摊不均,这通过吸引更多的团购参与者而使所有买家受益。我们引入了组合联盟形式(CCF)的概念,该概念允许购买者宣布物品组合的底价。这些底价以及每个项目的卖方价格量曲线,用于确定每个项目的购买组的形成。此外,同一组中的购买者不一定都必须支付相同的价格。 CCF的目标是使买方的总盈余最大化。在CCF中确定最佳联盟配置是NP难的,并且这种配置的稳定性取决于每个组内的成本分摊规则。因此,我们提出了一种基于增强贪婪选择以及满足某些稳定性的成本分摊规则的CCF启发式算法。仿真结果表明,与最优结果相比,我们的近似算法可生成相当好的解,并且大大优于简单的分布式方法。此外,当物品互补或强烈替代时,我们的算法性能会增强,尤其是在价格随数量快速或缓慢降低的环境中。在CCF下对卖方收入的评估表明,卖方应为互补性或强替代性商品提供一个逐渐下降的价格量曲线,而为弱替代性商品提供一个急剧下降的曲线。另外,卖方可以从更简单的价格-数量曲线和更少的步骤中获得更大的销售收益。

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