Data-driven optimization for Dallas Fort Worth International Airport deicing activities

DOI10.1007/S10479-017-2747-1zbMath1390.90406OpenAlexW2778528569MaRDI QIDQ1639242

Prashant K. Tarun, Jay M. Rosenberger, Victoria C. P. Chen, Robert A. Horton, Dachuan T. Shih, Seoung Bum Kim, Hui-Yuan Fan

Publication date: 12 June 2018

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-017-2747-1

zbMATH Keywords

stochastic dynamic programmingdissolved oxygenwater qualityairport deicingdata-driven optimizationglycol

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Dynamic programming (90C39)

Cites Work

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• Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization
• Application of orthogonal arrays and MARS to inventory forecasting stochastic dynamic programs.
• Stochastic dynamic programming formulation for a wastewater treatment decision-making framework
• Applying Experimental Design and Regression Splines to High-Dimensional Continuous-State Stochastic Dynamic Programming
• Unnamed Item

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