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考虑消费者退货行为的多产品定价及组合问题研究
郭晓龙,程裕兴,黄甘泉,余玉刚
中国科学技术大学管理学院
Research on Multiple Products Pricing and Assortment under Consumer Returns
GUO Xiaolong,CHENG Yuxing,HUANG Ganquan,YU Yugang
University of Science and Technology of China, Hefei, China

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摘要 考虑一个线上零售商在特定销售季内,针对消费者存在退货可能的多款替代性产品,进行联合定价与退货费率决策的销售问题。采用NLM (nested logit model)模型刻画与分析消费者的购买和退货行为,并证明该销售问题存在唯一最优解。研究表明:在一定范围内,零售商向市场中同时投放的产品款式越多,每款产品的最优定价和退货费率会越高;同时,尽管单品盈利能力会越低,但零售商的销售总利润会越高。并针对现实中存在的各种限制导致零售商的产品款式不能无限多的问题,提出最优的产品组合选择策略。
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郭晓龙
程裕兴
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关键词 多产品定价 退货费率 产品组合优化 离散选择模型    
Abstract:This study considers the sales problem of an online retailer making joint pricing and refund rate decisions for multiple substitute products that may be returned by consumers during a certain sales season. The nested logit model is adopted in this study to describe and analyze the consumer’s purchase and return behaviors, and the optimal solution of this sales problem is proved to exist and be unique. The results show that, within a certain scale, the more products sold on the market by the retailer at the same time, the higher optimal price and refund rate of each product, and although the profitability of a single product will be weakened, the retailer will obtain more total profits finally. Furthermore, considering the problem that the retailer’s number of products could not be increased infinitely due to various limitations in practice, this study introduces the optimal strategy for products assortment, which provides some theoretical guidance for firms to make relevant decisions.
Key wordsmulti-product pricing    refund rate    products assortment optimization    discrete choice model   
收稿日期: 2020-12-08     
基金资助:国家自然科学基金资助项目 (71871207, 71921001, 71991464)
通讯作者: 余玉刚(1975~),男,安徽肥东人。中国科学技术大学(合肥市230026)管理学院教授、博士研究生导师。研究方向为智慧物流、平台供应链以及仓储优化等。     E-mail: ygyu@ustc.edu.cn
引用本文:   
郭晓龙,程裕兴,黄甘泉,余玉刚. 考虑消费者退货行为的多产品定价及组合问题研究[J]. 管理学报, 2021, 18(12): 1860-. GUO Xiaolong,CHENG Yuxing,HUANG Ganquan,YU Yugang. Research on Multiple Products Pricing and Assortment under Consumer Returns. Chinese Journal of Management, 2021, 18(12): 1860-.
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