为解决B2 C环境下网络零售商向客户提供配送服务的多时隙激励定价问题,基于收益管理理论,针对客户具有在线时隙选择随机性的特点,引入效用函数,建立基于Logit模型的选择概率公式。考虑区域和时隙宽度影响,动态估计交付成本;用动态规划方法建立收益模型。通过数值分析得到不同时隙宽度和效用下的激励定价方案。结果表明:客户所属区域会对时隙价格产生一定的影响;时隙的效用越大,价格越高;时隙宽度越大,价格越低。研究结果对网络零售商的时隙规划具有参考价值。%In order to solve the multi-time slot incentive pricing issue of delivery service provided by on-line retailers in B2C,based on the revenue management theory,considering the online time slot selection randomness of customers,the utility function is introduced and then the selection probability formula based on Logit model is constructed. The effects of region and time slot width are taken into consideration to estimate the delivery cost dynamically. The revenue model is established by the dynamic programming method. Through numerical analysis,the incentive pricing schemes under different time slot widths and utilities are drawn. The result shows that the location of customers has some impact on the time slot price;the bigger the time slot utility,the higher the price;the bigger the time slot width,the lower the price. It can provide reference for time slot planning of online retailers.
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