A two-stage bid-price control for make-to-order revenue management
DOI10.1016/J.COR.2011.06.012zbMath1251.90025OpenAlexW2031087985MaRDI QIDQ1762076
Derya Eren Akyol, Thomas Stefan Spengler, Kai Wittek, Thomas Volling
Publication date: 15 November 2012
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cor.2011.06.012
neural networksrevenue managementmake-to-order\texttt{LINGO 10}\texttt{NeureSolutions 5}\texttt{Plant Simulation 8.1}bid-price-policy
Sensitivity, stability, parametric optimization (90C31) Stochastic programming (90C15) Optimal stochastic control (93E20) Consumer behavior, demand theory (91B42) Computational methods for problems pertaining to operations research and mathematical programming (90-08)
Related Items (8)
Cites Work
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- Revenue management in make-to-order manufacturing-an application to the iron and steel industry
- Network capacity control using self-adjusting bid-prices
- Introduction to computation and learning in artificial neural networks
- Dynamic control mechanisms for revenue management with flexible products
- Revenue management and demand fulfillment: Matching applications, models, and software
- Airline network revenue management by multistage stochastic programming
- The theory and practice of revenue management
- Re-solving stochastic programming models for airline revenue management
- Risk-based integration of strategic and tactical capacity planning
- Risk-sensitive capacity control in revenue management
- An Analysis of Bid-Price Controls for Network Revenue Management
- Dynamic Bid Prices in Revenue Management
- The Dynamic and Stochastic Knapsack Problem with Random Sized Items
- Simulation-Based Booking Limits for Airline Revenue Management
- Learning representations by back-propagating errors
- Approximation by superpositions of a sigmoidal function
- Mathematical programming for network revenue management revisited
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