A branch-and-cut algorithm for the latent-class logit assortment problem
We study the product assortment problem of a retail operation that faces a stream of customers who are heterogeneous with respect to preferences. Each customer belongs to a market segment characterized by a consideration set that includes the alternatives viewed as options, and by the preference wei...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v_n_p_MendezDiaz http://hdl.handle.net/20.500.12110/paper_0166218X_v_n_p_MendezDiaz |
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paper:paper_0166218X_v_n_p_MendezDiaz2023-06-08T15:15:38Z A branch-and-cut algorithm for the latent-class logit assortment problem Méndez Díaz, Isabel Miranda Bront, Juan José Vulcano, Gustavo José Zabala, Paula Choice behavior Fractional programming Integer programming Multinomial logit Retail operations Revenue management We study the product assortment problem of a retail operation that faces a stream of customers who are heterogeneous with respect to preferences. Each customer belongs to a market segment characterized by a consideration set that includes the alternatives viewed as options, and by the preference weights that the segment assigns to each of those alternatives. Upon arrival, he checks the offer set displayed by the firm, and either chooses one of those products or quits without purchasing according to a multinomial-logit (MNL) criterion. The firm's goal is to maximize the expected revenue extracted during a fixed time horizon. This problem also arises in the growing area of choice-based, network revenue management, where computational speed is a critical factor for the practical viability of a solution approach. This so-called latent-class, logit assortment problem is known to be NP-Hard. In this paper, we analyze unconstrained and constrained (i.e., with a limited number of products to display) versions of it, and propose a branch-and-cut algorithm that is computationally fast and leads to (nearly) optimal solutions. © 2012 Elsevier B.V. All rights reserved. Fil:Méndez-Díaz, I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Miranda-Bront, J.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Vulcano, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Zabala, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v_n_p_MendezDiaz http://hdl.handle.net/20.500.12110/paper_0166218X_v_n_p_MendezDiaz |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Choice behavior Fractional programming Integer programming Multinomial logit Retail operations Revenue management |
spellingShingle |
Choice behavior Fractional programming Integer programming Multinomial logit Retail operations Revenue management Méndez Díaz, Isabel Miranda Bront, Juan José Vulcano, Gustavo José Zabala, Paula A branch-and-cut algorithm for the latent-class logit assortment problem |
topic_facet |
Choice behavior Fractional programming Integer programming Multinomial logit Retail operations Revenue management |
description |
We study the product assortment problem of a retail operation that faces a stream of customers who are heterogeneous with respect to preferences. Each customer belongs to a market segment characterized by a consideration set that includes the alternatives viewed as options, and by the preference weights that the segment assigns to each of those alternatives. Upon arrival, he checks the offer set displayed by the firm, and either chooses one of those products or quits without purchasing according to a multinomial-logit (MNL) criterion. The firm's goal is to maximize the expected revenue extracted during a fixed time horizon. This problem also arises in the growing area of choice-based, network revenue management, where computational speed is a critical factor for the practical viability of a solution approach. This so-called latent-class, logit assortment problem is known to be NP-Hard. In this paper, we analyze unconstrained and constrained (i.e., with a limited number of products to display) versions of it, and propose a branch-and-cut algorithm that is computationally fast and leads to (nearly) optimal solutions. © 2012 Elsevier B.V. All rights reserved. |
author |
Méndez Díaz, Isabel Miranda Bront, Juan José Vulcano, Gustavo José Zabala, Paula |
author_facet |
Méndez Díaz, Isabel Miranda Bront, Juan José Vulcano, Gustavo José Zabala, Paula |
author_sort |
Méndez Díaz, Isabel |
title |
A branch-and-cut algorithm for the latent-class logit assortment problem |
title_short |
A branch-and-cut algorithm for the latent-class logit assortment problem |
title_full |
A branch-and-cut algorithm for the latent-class logit assortment problem |
title_fullStr |
A branch-and-cut algorithm for the latent-class logit assortment problem |
title_full_unstemmed |
A branch-and-cut algorithm for the latent-class logit assortment problem |
title_sort |
branch-and-cut algorithm for the latent-class logit assortment problem |
publishDate |
2012 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v_n_p_MendezDiaz http://hdl.handle.net/20.500.12110/paper_0166218X_v_n_p_MendezDiaz |
work_keys_str_mv |
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