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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Méndez-Díaz, I.
Otros Autores: Miranda-Bront, J.J, Vulcano, G., Zabala, P.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2012
Acceso en línea:Registro en Scopus
DOI
Handle
Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 03166caa a22004457a 4500
001 PAPER-9713
003 AR-BaUEN
005 20230518203940.0
008 140217s2012 xx ||||fo|||| 00| 0 eng|d
024 7 |2 scopus  |a 2-s2.0-84859348212 
040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
030 |a DAMAD 
100 1 |a Méndez-Díaz, I. 
245 1 2 |a A branch-and-cut algorithm for the latent-class logit assortment problem 
260 |c 2012 
270 1 0 |m Zabala, P.; Departamento de Computación, FCEyN, Universidad de Buenos Aires, Argentinaemail: pzabala@dc.uba.ar 
506 |2 openaire  |e Política editorial 
520 3 |a 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.  |l eng 
536 |a Article in Press 
593 |a Departamento de Computación, FCEyN, Universidad de Buenos Aires, Argentina 
593 |a Leonard N. Stern School of Business, New York University, New York, NY, USA 
593 |a Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina 
690 1 0 |a CHOICE BEHAVIOR 
690 1 0 |a FRACTIONAL PROGRAMMING 
690 1 0 |a INTEGER PROGRAMMING 
690 1 0 |a MULTINOMIAL LOGIT 
690 1 0 |a RETAIL OPERATIONS 
690 1 0 |a REVENUE MANAGEMENT 
700 1 |a Miranda-Bront, J.J. 
700 1 |a Vulcano, G. 
700 1 |a Zabala, P. 
773 0 |d 2012  |p Discrete Appl Math  |x 0166218X  |w (AR-BaUEN)CENRE-310  |t Discrete Applied Mathematics 
856 4 1 |u http://www.scopus.com/inward/record.url?eid=2-s2.0-84859348212&partnerID=40&md5=3407c42073e7fe334d75a4310424b586  |y Registro en Scopus 
856 4 0 |u https://doi.org/10.1016/j.dam.2012.03.003  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_0166218X_v_n_p_MendezDiaz  |y Handle 
856 4 0 |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v_n_p_MendezDiaz  |y Registro en la Biblioteca Digital 
961 |a paper_0166218X_v_n_p_MendezDiaz  |b paper  |c PE 
962 |a info:eu-repo/semantics/article  |a info:ar-repo/semantics/artículo  |b info:eu-repo/semantics/publishedVersion 
963 |a VARI 
999 |c 70666