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Technical Note—A Note on Relaxations of the Choice Network Revenue Management Dynamic Program
12 references·4 citing·34 second hop
Technical Note—A Note on Relaxations of the Choice Network Revenue Management Dynamic Program (2016)Technical Note—A Note on Relaxations of t…Managing Flexible Products on a Network (2020)Managing Flexible Products on…Reductions of Approximate Linear Programs for Network Revenue Management (2015)Reductions of Approximate Lin…On a Piecewise-Linear Approximation for Network Revenue Management (2015)On a Piecewise-Linear Approxi…Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters (2014)Assortment Optimization under…Network revenue management with inventory-sensitive bid prices and customer choice (2011)Network revenue management wi…An Approximate Dynamic Programming Approach to Network Revenue Management with Customer Choice (2009)An Approximate Dynamic Progra…A New Dynamic Programming Decomposition Method for the Network Revenue Management Problem with Customer Choice Behavior (2009)A New Dynamic Programming Dec…A Column Generation Algorithm for Choice-Based Network Revenue Management (2009)A Column Generation Algorithm…On the Choice-Based Linear Programming Model for Network Revenue Management (2007)On the Choice-Based Linear Pr…The Theory and Practice of Revenue Management (2004)The Theory and Practice of Re…Asymptotic Behavior of an Allocation Policy for Revenue Management (2002)Asymptotic Behavior of an All…An Analysis of Bid-Price Controls for Network Revenue Management (1998)An Analysis of Bid-Price Cont…Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals (2023)Revenue Management with Heter…Dynamic Pricing and Capacity Optimization in Railways (2023)Dynamic Pricing and Capacity …Choice Network Revenue Management Based on New Tractable Approximations (2019)Choice Network Revenue Manage…A strong Lagrangian relaxation for general discrete-choice network revenue management (2019)A strong Lagrangian relaxatio…Discrete Choice Analysis (1985)Discrete Choice Theory of Product Differentiation (1992)Revenue Management Under a General Discrete Choice Model of Consumer Behavior (2004)Customer Behavior Modeling in Revenue Management and Auctions: A Review and New Research Opportunities (2007)Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint (2010)Revenue Management: Research Overview and Prospects (1999)An overview of research on revenue management: current issues and future research (2006)Computing Virtual Nesting Controls for Network Revenue Management Under Customer Choice Behavior (2008)The Theory and Practice of Revenue Management (2005)Real-Time Dynamic Pricing with Minimal and Flexible Price Adjustment (2015)Optimal purchase and inventory retrieval policies for perishable seasonal agricultural products (2017)Operational Research: methods and applications (2023)Measuring the efficiency of decision making units (1978)Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Discrete choice analysis: Theory and application to travel demand (1988)Intertemporal Pricing with Strategic Customer Behavior (2007)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Mixed MNL models for discrete response (2000)Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with Simulation (2003)Assortment Planning: Review of Literature and Industry Practice (2008)Assortment Optimization Under Variants of the Nested Logit Model (2014)A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing (1992)Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons (1994)An Overview of Pricing Models for Revenue Management (2003)Yield Management at American Airlines (1992)Airline Yield Management with Overbooking, Cancellations, and No-Shows (1999)Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach (2016)A General Attraction Model and Sales-Based Linear Program for Network Revenue Management Under Customer Choice (2014)Constrained Assortment Optimization for the Nested Logit Model (2014)Thed-Level Nested Logit Model: Assortment and Price Optimization Problems (2015)Perspectives in supply chain risk management (2006)Robust strategies for mitigating supply chain disruptions (2006)The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity (2017)
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References

  • 2004The Theory and Practice of Revenue Management2,238 cited
  • 1998An Analysis of Bid-Price Controls for Network Revenue Management412 cited
  • 2007On the Choice-Based Linear Programming Model for Network Revenue Management366 cited
  • 2009A Column Generation Algorithm for Choice-Based Network Revenue Management310 cited
  • 2014Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters279 cited
  • 2009An Approximate Dynamic Programming Approach to Network Revenue Management with Customer Choice226 cited
  • 2020Managing Flexible Products on a Network200 cited
  • 2002Asymptotic Behavior of an Allocation Policy for Revenue Management168 cited
  • 2011Network revenue management with inventory-sensitive bid prices and customer choice114 cited
  • 2009A New Dynamic Programming Decomposition Method for the Network Revenue Management Problem with Customer Choice Behavior90 cited
  • 2015Reductions of Approximate Linear Programs for Network Revenue Management54 cited
  • 2015On a Piecewise-Linear Approximation for Network Revenue Management41 cited

Cited by

  • 2023Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals12 cited
  • 2019Choice Network Revenue Management Based on New Tractable Approximations

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11 cited
  • 2023Dynamic Pricing and Capacity Optimization in Railways10 cited
  • 2019A strong Lagrangian relaxation for general discrete-choice network revenue management9 cited