Talk: A Stochastic Optimization Model for Fleet Assignment under Uncertainty Conditions

Abstract

The variability in operational times has a great impact on aircraft scheduling. This work analyzes fleet assignment, considering the stochastic behavior of operational times. To solve the Fleet Assignment Problem (FAP), we propose a stabilized column generation problem, applying a set of specialized auxiliary shortest path models, based on lineal and dynamic programming (k-Shortest Path Problem with Resource Constraint - SPPRC). Finally, employing a Monte Carlo simulation, the On - Time Performance (OTP) of the fleet assignment is evaluated in specific scenarios.

Date
Oct 25, 2017 7:30 AM — 9:00 AM
Location
George R. Brown Convention Center
Houston, Texas

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