实例介绍
【实例简介】
The Theory and Practice of Revenue Management is a book that comprehensively covers theory and practice of the entire field, including both quantity and price-based RM, as well as significant coverage of supporting topics such as forecasting and economics.
Recent titles in the INTERNATIONAL SERIES IN OPERATIONS RESEARCH MANAGEMENt Science Frederick s. Hillier, Series Editor Stanford University Ramik.J. vlach M./GENERALIZED CONCAVITY IN FUZZY OPTIMIZATION AND DECISION ANALYSIS Song, J.& Yao, D./SUPPLY CHAIN STRUCTURES: Coordination, Information and ptimization Kozan ,e. ohuchi. A/OPERATIONS RESEARCH/MANAGEMENT SCIENCE AT WORK Bouyssou et al. AIDING DECISIONS WITH MULTIPLE CRITERIA: Essays in Honor of Bernard roy Cox, Louis anthony, Jr/RISK ANALYSIS: Foundations, Models and Methods Dror, M, L'Ecuyer, P.& szidarovszky, F/MODELING UNCERTAINTY: An Examination of Stochastic Theory, Methods, and Applications Dokuchaev, N/DYNAMIC PORTFOLIO STRATEGIES: Quantitative Methods and Empirical Rules or Incomplete information Sarker. R. Mohammadian.m. Yao X/ EVOLUTIONARY OPTIMIZATION Demeulemeester R. herroelen W./ PROJECT SCHEDULING: A Research Handbook Gazis D. C./ TRAFFIC THEORY Zhu, J/QUANTITATIVE MODELS FOR PERFORMANCE EVALUATION AND BENCHMARKING Ehrgott, M.& Gandibleux, X /MULTIPLE CRITERIA OPTIMIZATION: State of the Art Annotated Bibliographical Surveys Bienstock, D. Potential Function Methods for Approx. Solving Linear Programming Problem Matsatsinis. n f. siskos. Y./INTELLIGENT SUPPORT SYSTEMS FOR MARKETING DECISIONS Alpern,s& Gal, S/ THE THEORY OF SEARCH GAMES AND RENDEZVOUS Hall. R W/HANDBOOK OF TRANSPORTATION SCIENCE-2 Ed Glover, F& Kochenberger, G.A. /HANDBOOK OF METAHEURISTICS Graves, S.B. ringuest, J. L /MODELS AND METHODS FOR PROJECT SELECTION Concepts from Management Science, Finance and Information Technology Hassin, R. haviv, M/ TO QUEUE OR NOT TO QUEUE: Equilibrium Behavior in Queueing Systems Gershwin. S.B. et al/ ANalysis MODELINg OF MANUFACTURING SYSTEMS Maros, I/COMPUTATIONAL TECHNIQUES OF THE SIMPLEX METHOD Harrison, T. Lee. h. Neale. J/ THE PRACTICE OF SUPPLY CHAIN MANAGEMENT. Where Theory And Application Converge Shanthikumar, J.G., Yao, D.& zijm, W.H. STOCHASTIC MODELING AND OPTIMIZATION OF MANUFACTURING SYSTEMS AND SUPPLY CHAINS Nabrzyski, J, Schopf, J M., Weglarz, J/ GRID RESOURCE MANAGEMENT: State of the Art and Future Trends Thissen, W.A.H. Herder, P.M/CRITICAL INFRASTRUCTURES: State of the Art in Research and application Carlsson. C. Fedrizzi. M. fuller. R/ FUZZY LOGIC IN MANAGEMENT Soyer, R, Mazzuchi, TA,& Singpurwalla, N D/MATHEMATICAL RELIABILITY: An ory Perspective a list of the early publications in the series is at the end of the book e THE THEORY AND PRACTICE OF REVENUE MANAGEMENT KALYANT TALLURI GaRREtt J. VAN RYZIN Department of Economics and Business Graduate School of Business Universitat Pompeu Fabra Columbia University Barcelona New york KLUWER ACADEMIC PUBLISHERS NEW YORK. BOSTON. DORDRECHT. LONDON. MOSCOW e Book Isbn 14020-7933-8 Print Isbn 1-4020-7701-7 C2005 Springer Science Business Media, Inc Print 2004 Kluwer Academic Publishers Boston All rights reserved No part of this e Book may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording or otherwise, without written consent from the publisher Created in the united states of america Visit Springer's e Bookstore at http://ebooks.kluweronline.com andtheSpringerGlobalWebsiteOnlineathttp://www.springeronline.com To Cristina and uma for the love and joy, K① To Mary Beth, Stephanie, Claire and Andrea with love and thanks. and to the memory of my father John R. van R yzin This page intentionally left blank Contents Dedication List of Figures XV List of tables XXI Preface XXV Acknowledgments XXXI 1. INTRODUCTION 1.1 What is“RM? 1.1.1 Demand-Management Decisions 1. 1.2 What 's new about rm? 1.2 The Origins of RM 1. 2.1 Airline history 466 1.2.2 Consequences of the Airline History 1.3 A Conceptual framework for RM 13. 1 The Multidimensional Nature of demand 1.3.2 Linkages Among demand-Management Decisions 12 1.3.3 Business Conditions Conducive to RM 1.3.4 Industry Adopters Beyond the Airlines 1. 4 An Overview of a rm System 1.5 The State of the RM Profession 1.6 Chapter Organization and Reading Guide 20 1.6.1 Chapter organization 1. 6.2 Reading Guide 1.7 Note es and Se ources VIll THE THEORY AND PRACTICE OF REVENUE MANAGEMENT Parti Quantity-based RM 2. SINGLE-RESOURCE CAPACITY CONTROL 27 2.1 Introduction 27 2.1.1 Types of Controls 28 2. 1.2 Displacement Cost 32 2.2 Static models 33 2.2.1 Littlewoods Two-Class Model 35 2.2.2 n-Class Models 2.2.3 Computational approaches 41 2.2. 4 Heuristics 2.3 Adaptive methods 2.3.1 Adaptive Algorith 2.3.2 A Numerical Comparison with EMsR and Cen sored forecasting 2.4 Group Arrivals 2.5 Dynamic models 2.5.1 Formulation and Structural Properties 26789 2.5.2 Optimal policy 2.6 Customer -Choice Behavior 62 2.6.1 Buy-Up Factors 62 2.6.2 Discrete-Choice Models 2. 7 Notes and sources 75 3. NETWORK CAPACITY CONTROL 81 3.1 Introduction 81 3. 1. 1 The Promise and Challenge of network Control 82 3.1.2 Types of Controls 83 3.2 The Theory of Optimal network Controls 87 3.2.1 The Structure of Optimal Controls 3.2.2 Bid Price Controls 3.2.3 Nonoptimality of Bid-Price Controls 3.2.4 Evidence in Support of Bid Prices 91 3.2.5 Bid Prices and Opportunity Cost 91 3.3 Approximations based on Network models 2 3.3.1 The Deterministic Linear Programming Model 93 3.3.2 The Probabilistic Nonlinear programming model 95 3.3.3 The Randomized Linear Programming Model Contents 3.4 Approximations Based on Decomposition 100 3.4.1 OD Factors Method 101 3.4.2 Prorated EMSR 102 3.4.3 Displacement-Adjusted Virtual Nesting (DAVN) 103 3.4.4 Dynamic Programming Decomposition 107 3.4.5 Iterative Decomposition Methods 108 3.5 Stochastic Gradient Methods 3.5.1 Continuous model with gradient estimates 112 3.5.2 Discrete Model with First-Difference Estimates 116 3.6 Asymptotic analysis of network problems 118 3.6.1 Asymptotic Optimality of Partitioned Controls 118 3.6.2 Asymptotic Optimality of Bid-Price Controls 12 3.6.3 Comments on Asymptotic Optimality 120 3.7 Decentralized network Control: Airline alliances 121 3.8 Notes and Sources 122 4.OⅤ ERBOOKING 129 4.1 Business context and Overview 130 4.1.1 A History of Legal Issues in Airline Overbooking 131 4.1.2 Managing Denied-Service Occurrences 135 4.1.3 Lessons Beyond the Airline Industry 137 4.2 Static Overbooking models 138 4.2.1 The Binomial model 4.2.2 Static-Model Approximations 147 4.2.3 Customer Class Mix 4.2.4 Group cancellations 150 4.3 Dynamic Overbooking Models 4.3.1 Exact Approaches 152 4.3.2 Heuristic Approaches Based on Net Bookings 1 4.4 Combined Capacity-Control and Overbooking Models 155 4.4.1 Exact Methods for No-Shows 156 4.4.2 Class-Dependent No-Show Refunds 158 4.4.3 Exact Methods for Cancellations 15 4.4.4 Class-Dependent Cancellation Refunds 160 4.5 Substitutable Capacit 16l 45.1 Model and formulation 4.5.2 Joint Optimal Overbooking Levels 4.6 Network Overbooking 166 【实例截图】
【核心代码】
The Theory and Practice of Revenue Management is a book that comprehensively covers theory and practice of the entire field, including both quantity and price-based RM, as well as significant coverage of supporting topics such as forecasting and economics.
Recent titles in the INTERNATIONAL SERIES IN OPERATIONS RESEARCH MANAGEMENt Science Frederick s. Hillier, Series Editor Stanford University Ramik.J. vlach M./GENERALIZED CONCAVITY IN FUZZY OPTIMIZATION AND DECISION ANALYSIS Song, J.& Yao, D./SUPPLY CHAIN STRUCTURES: Coordination, Information and ptimization Kozan ,e. ohuchi. A/OPERATIONS RESEARCH/MANAGEMENT SCIENCE AT WORK Bouyssou et al. AIDING DECISIONS WITH MULTIPLE CRITERIA: Essays in Honor of Bernard roy Cox, Louis anthony, Jr/RISK ANALYSIS: Foundations, Models and Methods Dror, M, L'Ecuyer, P.& szidarovszky, F/MODELING UNCERTAINTY: An Examination of Stochastic Theory, Methods, and Applications Dokuchaev, N/DYNAMIC PORTFOLIO STRATEGIES: Quantitative Methods and Empirical Rules or Incomplete information Sarker. R. Mohammadian.m. Yao X/ EVOLUTIONARY OPTIMIZATION Demeulemeester R. herroelen W./ PROJECT SCHEDULING: A Research Handbook Gazis D. C./ TRAFFIC THEORY Zhu, J/QUANTITATIVE MODELS FOR PERFORMANCE EVALUATION AND BENCHMARKING Ehrgott, M.& Gandibleux, X /MULTIPLE CRITERIA OPTIMIZATION: State of the Art Annotated Bibliographical Surveys Bienstock, D. Potential Function Methods for Approx. Solving Linear Programming Problem Matsatsinis. n f. siskos. Y./INTELLIGENT SUPPORT SYSTEMS FOR MARKETING DECISIONS Alpern,s& Gal, S/ THE THEORY OF SEARCH GAMES AND RENDEZVOUS Hall. R W/HANDBOOK OF TRANSPORTATION SCIENCE-2 Ed Glover, F& Kochenberger, G.A. /HANDBOOK OF METAHEURISTICS Graves, S.B. ringuest, J. L /MODELS AND METHODS FOR PROJECT SELECTION Concepts from Management Science, Finance and Information Technology Hassin, R. haviv, M/ TO QUEUE OR NOT TO QUEUE: Equilibrium Behavior in Queueing Systems Gershwin. S.B. et al/ ANalysis MODELINg OF MANUFACTURING SYSTEMS Maros, I/COMPUTATIONAL TECHNIQUES OF THE SIMPLEX METHOD Harrison, T. Lee. h. Neale. J/ THE PRACTICE OF SUPPLY CHAIN MANAGEMENT. Where Theory And Application Converge Shanthikumar, J.G., Yao, D.& zijm, W.H. STOCHASTIC MODELING AND OPTIMIZATION OF MANUFACTURING SYSTEMS AND SUPPLY CHAINS Nabrzyski, J, Schopf, J M., Weglarz, J/ GRID RESOURCE MANAGEMENT: State of the Art and Future Trends Thissen, W.A.H. Herder, P.M/CRITICAL INFRASTRUCTURES: State of the Art in Research and application Carlsson. C. Fedrizzi. M. fuller. R/ FUZZY LOGIC IN MANAGEMENT Soyer, R, Mazzuchi, TA,& Singpurwalla, N D/MATHEMATICAL RELIABILITY: An ory Perspective a list of the early publications in the series is at the end of the book e THE THEORY AND PRACTICE OF REVENUE MANAGEMENT KALYANT TALLURI GaRREtt J. VAN RYZIN Department of Economics and Business Graduate School of Business Universitat Pompeu Fabra Columbia University Barcelona New york KLUWER ACADEMIC PUBLISHERS NEW YORK. BOSTON. DORDRECHT. LONDON. MOSCOW e Book Isbn 14020-7933-8 Print Isbn 1-4020-7701-7 C2005 Springer Science Business Media, Inc Print 2004 Kluwer Academic Publishers Boston All rights reserved No part of this e Book may be reproduced or transmitted in any form or by any means, electronic, mechanical, recording or otherwise, without written consent from the publisher Created in the united states of america Visit Springer's e Bookstore at http://ebooks.kluweronline.com andtheSpringerGlobalWebsiteOnlineathttp://www.springeronline.com To Cristina and uma for the love and joy, K① To Mary Beth, Stephanie, Claire and Andrea with love and thanks. and to the memory of my father John R. van R yzin This page intentionally left blank Contents Dedication List of Figures XV List of tables XXI Preface XXV Acknowledgments XXXI 1. INTRODUCTION 1.1 What is“RM? 1.1.1 Demand-Management Decisions 1. 1.2 What 's new about rm? 1.2 The Origins of RM 1. 2.1 Airline history 466 1.2.2 Consequences of the Airline History 1.3 A Conceptual framework for RM 13. 1 The Multidimensional Nature of demand 1.3.2 Linkages Among demand-Management Decisions 12 1.3.3 Business Conditions Conducive to RM 1.3.4 Industry Adopters Beyond the Airlines 1. 4 An Overview of a rm System 1.5 The State of the RM Profession 1.6 Chapter Organization and Reading Guide 20 1.6.1 Chapter organization 1. 6.2 Reading Guide 1.7 Note es and Se ources VIll THE THEORY AND PRACTICE OF REVENUE MANAGEMENT Parti Quantity-based RM 2. SINGLE-RESOURCE CAPACITY CONTROL 27 2.1 Introduction 27 2.1.1 Types of Controls 28 2. 1.2 Displacement Cost 32 2.2 Static models 33 2.2.1 Littlewoods Two-Class Model 35 2.2.2 n-Class Models 2.2.3 Computational approaches 41 2.2. 4 Heuristics 2.3 Adaptive methods 2.3.1 Adaptive Algorith 2.3.2 A Numerical Comparison with EMsR and Cen sored forecasting 2.4 Group Arrivals 2.5 Dynamic models 2.5.1 Formulation and Structural Properties 26789 2.5.2 Optimal policy 2.6 Customer -Choice Behavior 62 2.6.1 Buy-Up Factors 62 2.6.2 Discrete-Choice Models 2. 7 Notes and sources 75 3. NETWORK CAPACITY CONTROL 81 3.1 Introduction 81 3. 1. 1 The Promise and Challenge of network Control 82 3.1.2 Types of Controls 83 3.2 The Theory of Optimal network Controls 87 3.2.1 The Structure of Optimal Controls 3.2.2 Bid Price Controls 3.2.3 Nonoptimality of Bid-Price Controls 3.2.4 Evidence in Support of Bid Prices 91 3.2.5 Bid Prices and Opportunity Cost 91 3.3 Approximations based on Network models 2 3.3.1 The Deterministic Linear Programming Model 93 3.3.2 The Probabilistic Nonlinear programming model 95 3.3.3 The Randomized Linear Programming Model Contents 3.4 Approximations Based on Decomposition 100 3.4.1 OD Factors Method 101 3.4.2 Prorated EMSR 102 3.4.3 Displacement-Adjusted Virtual Nesting (DAVN) 103 3.4.4 Dynamic Programming Decomposition 107 3.4.5 Iterative Decomposition Methods 108 3.5 Stochastic Gradient Methods 3.5.1 Continuous model with gradient estimates 112 3.5.2 Discrete Model with First-Difference Estimates 116 3.6 Asymptotic analysis of network problems 118 3.6.1 Asymptotic Optimality of Partitioned Controls 118 3.6.2 Asymptotic Optimality of Bid-Price Controls 12 3.6.3 Comments on Asymptotic Optimality 120 3.7 Decentralized network Control: Airline alliances 121 3.8 Notes and Sources 122 4.OⅤ ERBOOKING 129 4.1 Business context and Overview 130 4.1.1 A History of Legal Issues in Airline Overbooking 131 4.1.2 Managing Denied-Service Occurrences 135 4.1.3 Lessons Beyond the Airline Industry 137 4.2 Static Overbooking models 138 4.2.1 The Binomial model 4.2.2 Static-Model Approximations 147 4.2.3 Customer Class Mix 4.2.4 Group cancellations 150 4.3 Dynamic Overbooking Models 4.3.1 Exact Approaches 152 4.3.2 Heuristic Approaches Based on Net Bookings 1 4.4 Combined Capacity-Control and Overbooking Models 155 4.4.1 Exact Methods for No-Shows 156 4.4.2 Class-Dependent No-Show Refunds 158 4.4.3 Exact Methods for Cancellations 15 4.4.4 Class-Dependent Cancellation Refunds 160 4.5 Substitutable Capacit 16l 45.1 Model and formulation 4.5.2 Joint Optimal Overbooking Levels 4.6 Network Overbooking 166 【实例截图】
【核心代码】
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