Memorias de investigación
Artículos en revistas:
Active Learning and Dynamic Pricing Policies
Año:2014

Áreas de investigación
  • Matemáticas,
  • Economía

Datos
Descripción
In this paper, we address the problem of dynamic pricing to optimize the revenue coming from the sales of a limited inventory in a finite time-horizon. A priori, the demand is assumed to be unknown. The seller must learn on the fly. We first deal with the simplest case, involving only one class of product for sale. Furthermore the general situation is considered with a finite number of product classes for sale. In particular, a case in point is the sale of tickets for events related to culture and leisure; in this case, typically the tickets are sold months before the event, thus, uncertainty over actual demand levels is a very a common occurrence. We propose a heuristic strategy of adaptive dynamic pricing, based on experience gained from the past, taking into account, for each time period, the available inventory, the time remaining to reach the horizon, and the profit made in previous periods. In the computational simulations performed, the demand is updated dynamically based on the prices being offered, as well as on the remaining time and inventory. The simulations show a significant profit over the fixed-price strategy, confirming the practical usefulness of the proposed strategy. We develop a tool allowing us to test different dynamic pricing strategies designed to fit market conditions and seller's objectives, which will facilitate data analysis and decision-making in the face of the problem of dynamic pricing.
Internacional
Si
JCR del ISI
No
Título de la revista
American Journal of Operations Research
ISSN
2160-8849
Factor de impacto JCR
Información de impacto
The Impact Factor (IF) is 0.61 based on the statistics from Google Scholar Index Copernicus
Volumen
2014
DOI
http://dx.doi.org/10.4236/ajor.2014.42009
Número de revista
4
Desde la página
90
Hasta la página
100
Mes
SIN MES
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  • Creador: Departamento: Ingeniería Civil: Hidráulica y Ordenación del Territorio