Price optimization under the extended nested logit model

被引：1
作者：
Li, Lixiang [1 ]
Li, Min [1 ]
Zhang, Hailun [2 ,3 ]
Zhang, Lianmin [3 ]
机构：
[1] Nanjing Univ, Sch Management & Engn, Nanjing 210093, Peoples R China
[2] Chinese Univ Hong Kong, Sch Data Sci, Shenzhen 518172, Peoples R China
[3] Shenzhen Res Inst Big Data, Shenzhen 518172, Peoples R China
来源：
OPERATIONS RESEARCH LETTERS | 2023年 / 51卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Price optimization; Discrete choice model; Extended nested logit; ASSORTMENT OPTIMIZATION; CAPACITATED ASSORTMENT; CHOICE;
D O I：
10.1016/j.orl.2022.11.012
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
We examine multi-product price optimization of the extended nested logit (ENL) model proposed by Kovach and Tserenjigmid, including the nested logit, increasing linear nested stochastic, and two-stage nested attraction models as special cases. The well-known constant adjusted markup and adjusted nest -level markup properties are extended to ENL. In addition, we present sufficient conditions under which the objective function is unimodal. We also provide the upper and lower bounds of the optimal adjusted nest-level markup when preconditions are not met.(c) 2022 Elsevier B.V. All rights reserved.
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页码：54 / 59
页数：6
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