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The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

An Overview of Pricing Models for Revenue Management

Bitran, Gabriel, Caldentey, René·2003·Manufacturing & Service Operations Management

Abstract

In this paper, we examine the research and results of dynamic pricing policies and their relation to revenue management. The survey is based on a generic revenue management problem in which a perishable and nonrenewable set of resources satisfy stochastic price sensitive demand processes over a finite period of time. In this class of problems, the owner (or the seller) of these resources uses them to produce and offer a menu of final products to the end customers. Within this context, we formulate the stochastic control problem of capacity that the seller faces: How to dynamically set the menu and the quantity of products and their corresponding prices to maximize the total revenue over the selling horizon.

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Cites

  • Yield management at American airlines

    Smith, B. C., Leimkuhler, J. F., & Darrow, R. M. (1992) · Interfaces · doi:10.1287/inte.22.1.8 · Cited by 697 · cited 1×

    “However, it was probably after the work of Belobaba (1987a, b; 1989) and the American Airlines success (Smith et al. 1992) that the field really took off.”
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Metadata

Authors
Bitran, G., & Caldentey, R.
Venue
Manufacturing & Service Operations Management
Published
2003-07
Volume
5
Issue
3
Pages
203-229
ISSN
  • 1523-4614 (ISSN-L)
  • 1526-5498
OpenAlex
W2100951624
Cited by
793
References
1
FWCI
26.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Overview of Pricing Models for Revenue Management. https://app.cochat.ai/papers/10.1287/msom.5.3.203.16031
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Bitran, G., & Caldentey, R. (2003). An Overview of Pricing Models for Revenue Management. Manufacturing & Service Operations Management. https://doi.org/10.1287/msom.5.3.203.16031

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.