The Theory and Practice of Revenue Management (International Series in Operations Research & Management Science) Review

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The Theory and Practice of Revenue Management (International Series in Operations Research & Management Science) ReviewThe area of Revenue Management (sometimes called yield management) has been developing rapidly over the past decade. All major airlines, car rental companies and hotel chains currently employ Revenue Management systems and profitability of these systems is well documented. Books describing basic concepts of Revenue Management appeared long time ago (see Cross, "Revenue Management: Hard-core Tactics for Profit-making and Market Domination"). Yet, there was no single place to look for the theory behind Revenue Management systems. This long-awaited book represents a concise and up-to-date source of academic knowledge on the theory of Revenue Management as well as implementation aspects. It is a perfect reference for graduate students in Operations Research and for others interested in learning about state of the art in this area.The Theory and Practice of Revenue Management (International Series in Operations Research & Management Science) Overview

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Pricing and Revenue Optimization Review

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Pricing and Revenue Optimization ReviewPricing and Revenue Optimization fills the need for a rigorous yet accessible introduction to the field more commonly known as revenue management. The author presents key pricing decisions such as airline revenue management, markdown management, and customized pricing as constrained optimization problems. It is the only broadly accessible consistent treatment of these topics in one place. The intended audience is MBA and MS level students and managers with solid quantitative backgrounds. Linear programming, probabilistic modeling, and some calculus is used. This book neatly fills the space between the popular treatment in Cross's "Revenue Management" and the much more mathematical "Theory and Practice of Revenue Management" by Talluri and van Ryzin. The book is well written and presents plenty of real-world grounding as well as the necessary mathematics. It is written as a textbook but would also serve for any quantitatively-oriented analyst or manager wanting to know how math models can be used to improve pricing. As a textbook, it is a little short of problems and I would have liked to see chapters on forecasting and price-response estimation. It is the best available introduction to this important topic for the MBA-level student or practitioner.Pricing and Revenue Optimization Overview

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