Risk-Averse Capacity Control in Revenue Management PDF Download
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Author: Christiane Barz
Publisher: Springer Science & Business Media
ISBN: 3540730141
Category : Business & Economics
Languages : en
Pages : 173
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Book Description
This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.
Author: Christiane Barz
Publisher: Springer Science & Business Media
ISBN: 3540730141
Category : Business & Economics
Languages : en
Pages : 173
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Book Description
This book revises the well-known capacity control problem in revenue management from the perspective of a risk-averse decision-maker. Modelling an expected utility maximizing decision maker, the problem is formulated as a risk-sensitive Markov decision process. Special emphasis is put on the existence of structured optimal policies. Numerical examples illustrate the results.
Author: Joongwoo Brian Park
Publisher:
ISBN:
Category :
Languages : en
Pages : 54
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Book Description
Network revenue management is the practice of using optimal decision policies to increase revenues by controlling limited quantities of multiple resources' availability and prices over finite time. It is widely practiced in capacity-constrained service industries such as the airlines, hotels, car rentals, and cruise-lines. A variety of control methods has been introduced for network resource capacity control problem. We propose a clustering method to improve approximation quality. By clustering the legs of the network, one can find tighter upperbound than leg-wise decomposition with loss of computation speed due to larger state space. We have shown that there is more than 6% revenue improvement opportunity by finding the right clustering. With local interchange heuristic and generic heuristics, finding a locally optimal clustering can be done in faster time. We also introduce risk-aversion in network revenue management. We have investigated risk-aversion on network revenue management and also study the impact of risk-aversion parameters in the optimization model on relative revenue-risk performance.
Author: Sebastian Koch
Publisher:
ISBN:
Category :
Languages : en
Pages : 28
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Book Description
In practice, human-decision makers often feel uncomfortable with the risk-neutral revenue management systems' output. Reasons include a low number of repetitions of similar events, a critical impact of the achieved revenue for economic survival, or simply business constraints imposed by management. However, solving capacity control problems is a challenging task for many risk measures and the approaches are often not compatible with existing software systems.In this paper, we propose a flexible framework for risk-averse capacity control under customer choice behavior. Existing risk-neutral decision rules are augmented by the integration of adjustable parameters. Our key idea is the application of simulation-based optimization (SBO) to calibrate these parameters. This allows to easily tailor the resulting capacity control mechanism to almost every risk measure and customer choice behavior.In an extensive simulation study, we analyze the impact of our approach on expected utility, conditional value-at-risk (CVaR), and expected value. The results show a superior performance in comparison to risk-neutral approaches from literature.
Author: Jochen Gönsch
Publisher:
ISBN:
Category :
Languages : en
Pages : 41
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Book Description
Many industries use revenue management to balance uncertain, stochastic demand and inflexible capacity. Popular examples include airlines, hotels, car rentals, retailing, and manufacturing. The classical revenue management approaches considered in theory and practice are based on two assumptions. First, demand - as the only uncertain variable - follows a known distribution and, second, risk-neutrality justifies the maximization of expected revenue. Recently, two related streams of literature emerged that do not need these assumptions. Research on risk-averse revenue management acknowledges that, in practice, many decision makers are risk-averse. Research on robust revenue management focuses worst-case scenarios without a known demand distribution, which is especially relevant for new and extremely unstable businesses.This paper motivates the consideration of risk-averse and robust revenue management. We briefly introduce revenue managements' two main methods - capacity control and dynamic pricing - in the classical, risk-neutral setting. Then, we provide an exhaustive review of the literature on risk-averse and robust capacity control and dynamic pricing. In doing so, the relevant decision criteria are briefly introduced. Finally, possible avenues for future research are outlined.
Author: Jörg Kalcsics
Publisher: Springer Science & Business Media
ISBN: 3540779035
Category : Business & Economics
Languages : en
Pages : 494
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Book Description
The symposium Operations Research 2007 was held from September 5-7, 2007 at the Saarland University in Saarbru ̈cken. This international conference is at the same time the annual meeting of the German - erations Research Society (GOR). The transition in Germany (and many other countries in Europe) from a production orientation to a service society combined with a continuous demographic change generated a need for intensi?ed Op- ations Research activities in this area. On that account this conference has been devoted to the role of Operations Research in the service industry. The links to Operations Research are manifold and include many di?erent topics which are particularly emphasized in scienti?c sections of OR 2007. More than 420 participants from 30 countries made this event very international and successful. The program consisted of three p- nary,elevensemi-plenaryandmorethan300contributedpresentations, which had been organized in 18 sections. During the conference, the GOR Dissertation and Diploma Prizes were awarded. We congratulate all winners, especially Professor Wolfgang Domschke from the Da- stadt University of Technology, on receiving the GOR Scienti?c Prize Award.
Author: David Ardia
Publisher: Springer Science & Business Media
ISBN: 3540786570
Category : Business & Economics
Languages : en
Pages : 206
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Book Description
This book presents in detail methodologies for the Bayesian estimation of sing- regime and regime-switching GARCH models. These models are widespread and essential tools in n ancial econometrics and have, until recently, mainly been estimated using the classical Maximum Likelihood technique. As this study aims to demonstrate, the Bayesian approach o ers an attractive alternative which enables small sample results, robust estimation, model discrimination and probabilistic statements on nonlinear functions of the model parameters. The author is indebted to numerous individuals for help in the preparation of this study. Primarily, I owe a great debt to Prof. Dr. Philippe J. Deschamps who inspired me to study Bayesian econometrics, suggested the subject, guided me under his supervision and encouraged my research. I would also like to thank Prof. Dr. Martin Wallmeier and my colleagues of the Department of Quantitative Economics, in particular Michael Beer, Roberto Cerratti and Gilles Kaltenrieder, for their useful comments and discussions. I am very indebted to my friends Carlos Ord as Criado, Julien A. Straubhaar, J er ^ ome Ph. A. Taillard and Mathieu Vuilleumier, for their support in the elds of economics, mathematics and statistics. Thanks also to my friend Kevin Barnes who helped with my English in this work. Finally, I am greatly indebted to my parents and grandparents for their support and encouragement while I was struggling with the writing of this thesis.
Author: Rainer Hoffmann
Publisher: KIT Scientific Publishing
ISBN: 3731500035
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
This book studies air cargo capacity control problems. The focus is on analyzing decision models with intuitive optimal decisions as well as on developing efficient heuristics and bounds. Three different models are studied: First, a model for steering the availability of cargo space on single legs. Second, a model that simultaneously optimizes the availability of both seats and cargo capacity. Third, a decision model that controls the availability of cargo capacity on a network of flights.
Author: Yong Fang
Publisher: Springer Science & Business Media
ISBN: 3540779264
Category : Business & Economics
Languages : en
Pages : 170
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Book Description
Most of the existing portfolio selection models are based on the probability theory. Though they often deal with the uncertainty via probabilistic - proaches, we have to mention that the probabilistic approaches only partly capture the reality. Some other techniques have also been applied to handle the uncertainty of the ?nancial markets, for instance, the fuzzy set theory [Zadeh (1965)]. In reality, many events with fuzziness are characterized by probabilistic approaches, although they are not random events. The fuzzy set theory has been widely used to solve many practical problems, including ?nancial risk management. By using fuzzy mathematical approaches, quan- tative analysis, qualitative analysis, the experts’ knowledge and the investors’ subjective opinions can be better integrated into a portfolio selection model. The contents of this book mainly comprise of the authors’ research results for fuzzy portfolio selection problems in recent years. In addition, in the book, the authors will also introduce some other important progress in the ?eld of fuzzy portfolio optimization. Some fundamental issues and problems of po- folioselectionhavebeenstudiedsystematicallyandextensivelybytheauthors to apply fuzzy systems theory and optimization methods. A new framework for investment analysis is presented in this book. A series of portfolio sel- tion models are given and some of them might be more e?cient for practical applications. Some application examples are given to illustrate these models by using real data from the Chinese securities markets.
Author: Michael Müller-Bungart
Publisher: Springer Science & Business Media
ISBN: 3540723153
Category : Business & Economics
Languages : en
Pages : 307
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Book Description
This book analyzes revenue management (RM) problems with flexible products and RM in broadcasting companies. It presents models and methods that explicitly take the implications of flexibility into account. In addition, it contains descriptions of algorithms to generate stochastic demand data streams for general RM problems. To help readers with their own simulation studies, it provides an implementation as a Microsoft Windows executable file.
Author: Marten Hillebrand
Publisher: Springer Science & Business Media
ISBN: 3540779728
Category : Political Science
Languages : en
Pages : 178
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Book Description
Due to the accelerating demographic change of the population the reform of the existing pension systems constitutes one of the greatest political challenges in most European countries. A theoretical discussion of different pension reforms must incorporate not only the demographic aspect but also the role of financial market risk and the impact on production and employment. These notes develop a dynamic macroeconomic model which incorporates these aspects within a flexible theoretical framework. The proposed approach provides a large scale population model and features a sound description of the production side as well as of the financial side of the economy and their interactions with the pension system. Within this framework various adjustment policies of the pension system are studied under different population scenarios. The consequences for the economy and the welfare of consumers are analyzed and compared.
