The theory and practice of revenue management /

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:
Online Access:Connect to the full text of this electronic book

MARC

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245 1 4 |a The theory and practice of revenue management /  |c Kalyan T. Talluri, Garrett J. van Ryzin. 
264 1 |a Boston, Mass. :  |b Kluwer Academic Publishers,  |c [2004] 
264 4 |c ©2004 
300 |a 1 online resource (xxvii, 712 pages) 
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490 1 |a International series in operations research & management science,  |v 68 
504 |a Includes bibliographical references (pages 671-706) and index. 
505 0 |a 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. 
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