A framework for solving network revenue management problems with customer choice behavior

DOI10.1007/s10100-012-0241-zzbMath1339.91070OpenAlexW1987328411MaRDI QIDQ300793

Petr Fiala

Publication date: 29 June 2016

Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10100-012-0241-z

zbMATH Keywords

approximationsrevenue managementcustomer choicenetwork problemsPetri net and neural net

Mathematics Subject Classification ID

Production theory, theory of the firm (91B38) Dynamic programming (90C39) Consumer behavior, demand theory (91B42)

Related Items (1)

Special issue of the Czech Society for Operations Research

Cites Work

• Unnamed Item
• On the application of a transportation model for revenue optimization in waste management: a case study
• The theory and practice of revenue management
• A Randomized Linear Programming Method for Computing Network Bid Prices
• Using Lagrangian Relaxation to Compute Capacity-Dependent Bid Prices in Network Revenue Management
• Strategic Capacity Rationing to Induce Early Purchases
• Revenue Management Under a General Discrete Choice Model of Consumer Behavior

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