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The theory and practice of revenue management /

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Revenue management (RM) is one of the most successful applications in Operations Research. The RM has grown from its application with a handful of major airlines to its status today as a mainstream business practice with a growing list of industry users from Walt Disney Resorts to National Car Renta...

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Bibliographic Details
Main Author: Talluri, Kalyan T.
Corporate Author: SpringerLink (Online service)
Other Authors: Van Ryzin, Garrett
Format: eBook
Language:English
Published: Boston, Mass. : Kluwer Academic Publishers, [2004]
Series:International series in operations research & management science ; 68.
Subjects:
Revenue management.
Business.
Rentabilité > Gestion.
BUSINESS & ECONOMICS > Insurance > Risk Assessment & Management.
Affaires.
Science économique.
Economie de l'entreprise.
Yield management.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Cover
  • Table of Contents
  • Dedication
  • List of Figures
  • List of Tables
  • Preface
  • Acknowledgments
  • 1. INTRODUCTION
  • 1.1 What Is "RM"?
  • 1.2 The Origins of RM
  • 1.3 A Conceptual Framework for RM
  • 1.4 An Overview of a RM System
  • 1.5 The State of the RM Profession
  • 1.6 Chapter Organization and Reading Guide
  • 1.7 Notes and Sources
  • Part I Quantity-based RM
  • 2. SINGLE-RESOURCE CAPACITY CONTROL
  • 2.1 Introduction
  • 2.2 Static Models
  • 2.3 Adaptive Methods
  • 2.4 Group Arrivals
  • 2.5 Dynamic Models
  • 2.6 Customer-Choice Behavior
  • 2.7 Notes and Sources
  • 3. NETWORK CAPACITY CONTROL
  • 3.1 Introduction
  • 3.2 The Theory of Optimal Network Controls
  • 3.3 Approximations Based on Network Models
  • 3.4 Approximations Based on Decomposition
  • 3.5 Stochastic Gradient Methods
  • 3.6 Asymptotic Analysis of Network Problems
  • 3.7 Decentralized Network Control: Airline Alliances
  • 3.8 Notes and Sources
  • 4. OVERBOOKING
  • 4.1 Business Context and Overview
  • 4.2 Static Overbooking Models
  • 4.3 Dynamic Overbooking Models
  • 4.4 Combined Capacity-Control and Overbooking Models
  • 4.5 Substitutable Capacity
  • 4.6 Network Overbooking
  • 4.7 Notes and Sources
  • Part II Price-based RM
  • 5. DYNAMIC PRICING
  • 5.1 Introduction and Overview
  • 5.2 Single-Product Dynamic Pricing Without Replenishment
  • 5.3 Single-Product Dynamic Pricing with Replenishment
  • 5.4 Multiproduct' Multiresource Pricing
  • 5.5 Finite-Population Models and Price Skimming
  • 5.6 Promotions Optimization
  • 5.7 Notes and Sources
  • 6. AUCTIONS
  • 6.1 Introduction and Industry Overview
  • 6.2 Independent Private-Value Theory
  • 6.3 Optimal Dynamic Single-Resource Capacity Auctions
  • 6.4 Optimal Dynamic Auctions with Replenishment
  • 6.5 Network Auctions
  • 6.6 Notes and Sources
  • Part III Common Elements
  • 7. CUSTOMER-BEHAVIOR AND MARKET-RESPONSE MODELS
  • 7.1 The Independent-Demand Model
  • 7.2 Models of Individual Customer Choice
  • 7.3 Models of Aggregate Demand
  • 7.4 Notes and Sources
  • 8. THE ECONOMICS OF RM
  • 8.1 Introduction
  • 8.2 Perfect Competition
  • 8.3 Monopoly Pricing
  • 8.4 Price and Capacity Competition in an Oligopoly
  • 8.5 Notes and Sources
  • 9. ESTIMATION AND FORECASTING
  • 9.1 Introduction
  • 9.2 Estimation Methods
  • 9.3 Forecasting Methods
  • 9.4 Data Incompleteness and Unconstraining
  • 9.5 Error Tracking and System Control
  • 9.6 Industry Models of RM Estimation and Forecasting
  • 9.7 Notes and Sources
  • 10. INDUSTRY PROFILES
  • 10.1 Airlines
  • 10.2 Hotels
  • 10.3 Rental Car
  • 10.4 Retailing
  • 10.5 Media and Broadcasting
  • 10.6 Natural-Gas Storage and Transmission
  • 10.7 Electricity Generation and Transmission
  • 10.8 Tour Operators
  • 10.9 Casinos
  • 10.10 Cruise Ships and Ferry Lines
  • 10.11 Passenger Railways
  • 10.12 Air Cargo
  • 10.13 Freight
  • 10.14 Theaters and Sporting Events
  • 10.15 Manufacturing
  • 10.16 Notes and Sources
  • 11. IMPLEMENTATION.