Assortment Optimisation Under a General Discrete Choice Model: A Tight Analysis of Revenue-Ordered Assortments
作者： Gerardo Berbeglia , Gwenaël Joret
DOI: 10.1007/S00453-019-00610-8
关键词: Revenue management 、 Heuristic 、 Set (abstract data type) 、 Theory of computation 、 Discrete choice 、 Revenue 、 Minimum spanning tree 、 Stackelberg competition 、 Mathematical optimization 、 Computer science 、 General Computer Science 、 Applied mathematics 、 Computer Science Applications
摘要: The assortment problem in revenue management is the problem of deciding which subset of products to offer to consumers in order to maximise revenue. A simple and natural strategy is …
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arxiv.org 参考文章(49)
Kalyan Talluri, Garrett van Ryzin, Revenue Management Under a General Discrete Choice Model of Consumer Behavior Management Science. ,vol. 50, pp. 15- 33 ,(2004) , 10.1287/MNSC.1030.0147
Paat Rusmevichientong, David Shmoys, Chaoxu Tong, Huseyin Topaloglu, Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters Production and Operations Management. ,vol. 23, pp. 2023- 2039 ,(2014) , 10.1111/POMS.12191
Paat Rusmevichientong, Huseyin Topaloglu, Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model Operations Research. ,vol. 60, pp. 865- 882 ,(2012) , 10.1287/OPRE.1120.1063
Isabel Méndez-Díaz, Juan José Miranda-Bront, Gustavo Vulcano, Paula Zabala, A branch-and-cut algorithm for the latent-class logit assortment problem Discrete Applied Mathematics. ,vol. 164, pp. 246- 263 ,(2014) , 10.1016/J.DAM.2012.03.003
Ali Aouad, Danny Segev, Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Choice Preferences Social Science Research Network. ,(2015) , 10.2139/SSRN.2709652
Morgan McClellon, Non-Additive Random Utility Functions Research Papers in Economics. ,(2015)
Victor Aguiar, Stochastic Choice and Attention Capacities: Inferring Preferences from Psychological Biases SSRN Electronic Journal. ,(2015) , 10.2139/SSRN.2607602
Johan Ugander, Stephen Ragain, Pairwise Choice Markov Chains arXiv: Machine Learning. ,(2016)
R. Duncan Luce, Individual Choice Behavior ,(1959)
Ryan Webb, Paul W. Glimcher, Ifat Levy, Stephanie C. Lazzaro, Robb B. Rutledge, Neural Random Utility: Relating Cardinal Neural Observables to Stochastic Choice Behaviour' Social Science Research Network. ,(2016) , 10.2139/SSRN.2143215