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On the optimal product line selection problem with price discrimination / Cornelia Schön in Management science, Vol. 56 N° 5 (Mai 2010) 

Public ISBD [article]  in Management science > Vol. 56 N° 5 (Mai 2010) . - pp. 896-902 Titre : On the optimal product line selection problem with price discrimination Type de document : texte imprimé Auteurs : Cornelia Schön, Auteur Année de publication : 2010 Article en page(s) : pp. 896-902 Note générale : Management Langues : Anglais (eng) Mots-clés : Optimal  product  line  and  price  selection  Probabilistic  choice  model  Choice-based  conjoint  analysis  Binary  linear  fractional  program  Personalized  pricing Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Product line design decisions are determinant for a firm's market success and, simultaneously, very costly to implement and change. To evaluate the profitability of a design, a number of mathematical programming approaches have been proposed in the last three decades—typically nonlinear integer optimization problems that can only be tackled heuristically for real-world instances. Recently, Chen and Hausman (2000) efficiently exploited the fractional programming properties of a stylized model for product line and price selection with the objective to maximize contribution given homogeneous customer behavior by an aggregate multinomial logit choice model. We extend the approach of Chen and Hausman (Chen, K. D., W. H. Hausman. 2000. Technical note: Mathematical properties of the optimal product line selection problem using choice-based conjoint analysis. Management Sci. 46(2) 327–332) to determine an optimal product line under a personalized or group pricing strategy in markets with multiple heterogeneous consumers such that total profit (including fixed costs) is maximized. Personalized/group pricing is a growing discrimination strategy that more and more businesses are realizing is not only very profitable, but also often implementable in the era of e-business. Our problem formulation allows to incorporate commonly applied attraction choice models including the multinomial logit, the Bradley–Terry–Luce, and approximately the first choice model. Though the problem is generally nonlinear, we show that the fractional substructure resulting from attraction choice models can still be exploited to globally solve real-world instances in reasonable time. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/56/5.toc [article] On the optimal product line selection problem with price discrimination [texte imprimé] / Cornelia Schön, Auteur . - 2010 . - pp. 896-902. Management Langues : Anglais (eng) in Management science > Vol. 56 N° 5 (Mai 2010) . - pp. 896-902 Mots-clés : Optimal  product  line  and  price  selection  Probabilistic  choice  model  Choice-based  conjoint  analysis  Binary  linear  fractional  program  Personalized  pricing Index. décimale : 658 Organisation des entreprises. Techniques du commerce Résumé : Product line design decisions are determinant for a firm's market success and, simultaneously, very costly to implement and change. To evaluate the profitability of a design, a number of mathematical programming approaches have been proposed in the last three decades—typically nonlinear integer optimization problems that can only be tackled heuristically for real-world instances. Recently, Chen and Hausman (2000) efficiently exploited the fractional programming properties of a stylized model for product line and price selection with the objective to maximize contribution given homogeneous customer behavior by an aggregate multinomial logit choice model. We extend the approach of Chen and Hausman (Chen, K. D., W. H. Hausman. 2000. Technical note: Mathematical properties of the optimal product line selection problem using choice-based conjoint analysis. Management Sci. 46(2) 327–332) to determine an optimal product line under a personalized or group pricing strategy in markets with multiple heterogeneous consumers such that total profit (including fixed costs) is maximized. Personalized/group pricing is a growing discrimination strategy that more and more businesses are realizing is not only very profitable, but also often implementable in the era of e-business. Our problem formulation allows to incorporate commonly applied attraction choice models including the multinomial logit, the Bradley–Terry–Luce, and approximately the first choice model. Though the problem is generally nonlinear, we show that the fractional substructure resulting from attraction choice models can still be exploited to globally solve real-world instances in reasonable time. DEWEY : 658 ISSN : 0025-1909 En ligne : http://mansci.journal.informs.org/content/56/5.toc