摘要
网购环境下,由于消费者需求随机性及消费者需求偏好等特点,使得网络零售商提供的配送时隙需求呈现出冷热不均的现象。针对此现象,以最大化网络零售商期望收益为目标,引入效用函数,综合考虑了时间和价格两种客户选择行为影响因素,建立基于Logit的选择概率公式,提出了新的动态规划收益模型。将时隙分为热门时隙和冷门时隙两类,通过模拟分析得到不同时隙宽度和单位配送能力下的定价方案。结果表明:适当调整热门时隙宽度能使网络零售商的配送能力得到更好分配,同时适当增加网络零售商单位时隙的配送能力可以减少热门时隙宽度的变化量。研究结果对零售商的时隙规划具有参考价值。
In online retailing, there has been an uneven demand of delivery timeslot for stochastic demands and customer preferences. To avoid this problem and maximize the retailers’ expected prof-it, the paper introduces the utility function, and considers two customer choice behavior influence factors of time sensitive and price sensitive . After that, the Logit choice model （ MNL） is introduced to construct a new dynamic programming model about revenue management. Two types of delivery time slot including popular timeslot and unpopular timeslot are considered, and the pricing schemes under different timeslot width and units delivery capacity are obtained through simulation analysis. The results show that appropriate adjustment of popular timeslot width can allocate the retailers’ de-livery capacity better. Meanwhile, increasing the unit delivery capacity may reduce the variance of popular timeslot width. The research results have reference value to the retailer’s time slot planning.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2016年第5期1585-1593,共9页
Journal of Guangxi University（Natural Science Edition）
基金
国家社会科学基金资助项目(15BGL084)
上海市哲学社会规划课题资助项目(2014BGL018)
上海市人才发展基金项目(201508)
关键词
网络零售
时隙
动态定价
选择行为
online retailing
timeslot
dynamic pricing
choice behavior
