多属性拍卖突破了传统拍卖理论仅以期望收益最大为目标的限制,考虑了包括价格和质量等在内的多因素决策变量。因为物流交易因时间、地点、内容的不同而具有特殊性,因此对其真实成本信息揭示非常重要。本文构建了一个将多属性与传统二价拍卖模型相结合的多属性第二评分拍卖交易模型来解决物流交易成本信息不对称的问题,并实现了物流成本、质量等多属性综合优化。最后,基于鲜活农产品物流的仿真算例对上述模型进行了仿真实验。
Multi-attribute auction, considering multiple variables of decision factors besides the variables of price and quality, breaks the restriction of the traditional auction theory in which the greatest expected earning is only hoped for. Logistics transaction is different due to different time, place and content, so it is important to reveal real information of logistics transaction cost. This paper establishes the multi-attribute sec- ond-score auction model which combines the multi-attribute requirement with the traditional second-price auction model to resolve the problem of asymmetric information, and achieves the optimization of multi-attribute such as logistics cost, quality and others. Finally, it makes a simulation experiment about logistics of fresh agricultural product.