Pricing and Revenue Optimization

By R. Phillips. 2005

779 citations recorded by the source corpus.

Contents Preface 1 Background and Introduction 2 Introduction to Pricing and Revenue Optimization 3 Basic Price Optimization 4 Price Differentiation 5 Pricing with Constrained Supply 6 Revenue Management 7 Capacity Allocation 8 Network Management 9 Overbooking 10 Markdown Management 11 Customized Pricing 12 PRO and Customer Acceptance Appendix Bibliography Index

Subfields: Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/98aba2045e36dd0c32134ff7b27e1dcb4e45a9de

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Citations in the corpus

A survey of variants and extensions of the location-routing problem (2015, methodology): “For all instance groups but the smallest one with 20 customers, the average result reported for PR10 is superior to the best result of the other methods, with a noticeable difference especially for the larger instances.”
The Power and Limits of Predictive Approaches to Observational-Data-Driven Optimization (2016, background): “r speciÞc instance. For example, Besbes et al. (2010) consider separate interest rates customized for di!erent customer classes deÞned by ranges of FICO scores, known generally as customized pricing (Phillips 2005). Therefore, we may often think of the distribution in Problem (1) over which expectat”
Recent Developments in Dynamic Pricing Research: Multiple Products, Competition, and Limited Demand Information (2015, background): “It has been conjectured in the revenue management literature (Phillips 2005, Talluri and van Ryzin 2004) that monopoly models may incorporate the effects of competition because the parameter estimates of the monopoly models are based on data collected in the presence of competition.”
Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities (2007, background): “1 Phillips (2005) list prices for a half-gallon of whole milk at different”
Resource Management in Clouds: Survey and Research Challenges (2015, neutral): “(For an introduction see [173] and [64].”
Demand Functions in Decision Modeling: A Comprehensive Survey and Research Directions (2013, methodology): “A similar result was obtained by Phillips (2005), who assumed that δ = 1, as shown in Table 3.”
Revenue Management with Strategic Customers: Last-Minute Selling and Opaque Selling (2010, background): “The remaining fraction of the revenue δ from each product goes to the airline whose product the intermediary sells (see Elkind (1999), Priceline (2006) and Phillips (2005) for a description of such arrangements in the travel industry).”
Optimal Dynamic Pricing of Perishable Items by a Monopolist Facing Strategic Consumers (2010, background): “For a review of this area, see Phillips (2005) and Talluri and van Ryzin (2004). In dynamic pricing, it is crucial to take into account key characteristics of the market such as consumer behavior and the availabilities of goods and services.”
Managing Flexible Products on a Network (2005, positive): “Typically, customers who book early are more price-sensitive when compared with those who book later and, consequently, airlines make discounted fares available earlier rather than later [2, 5, 11, 15].”
Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions (2013, neutral): “skinocak [7], Talluri and van Ryzin [8], Phillips [9], Heching and Le-”