摘要
在B2C(Business to Customer)环境下,配送成本是薄利经营的网络零售商们最需要处理的关键问题.以保证网络零售商的收益,最大化利用各配送时隙的能力为目标,对B2C环境下的在线订单配送时隙的定价进行了研究.根据客户具有在线时隙选择行为随机性的特点,引入效用函数建立基于Logit的选择概率公式.并且考虑各时隙选项的效用,剩余预订时间,以及剩余能力建立了时隙定价模型.最后通过算例验证了模型的有效性,并通过分析说明了定价对客户时隙选择行为的影响.
In B2C, a critical question that an online retailer who operates on very thin margins needs to address is the cost of home delivery. To ensure the benefits of online retailers and maximum utilization of each delivery time slot＇s capacity, the pricing model of time slot for online order delivery in B2C was studied. According to the characteristics that customer online choice behavior was random, the utility function was introduced, and the choice formula based on Logit was presented. The pricing model was presented based on the utilities of time slots, booking horizon and availability of time slot. Finally, a set of examples were analyzed to verify the effectiveness of the model, and demonstrated the influence of pricing to the customer choice behavior.
出处
《安徽大学学报（自然科学版）》
CAS
北大核心
2014年第3期6-11,共6页
Journal of Anhui University(Natural Science Edition)
基金
上海市自然科学基金资助项目(12ZR1412800)
上海市教委科研创新项目(12YZ119)
关键词
网络零售
动态定价
选择行为
时隙
internet retailing
dynamic pricing
choice behavior
time slot
