Robust fleet planning under stochastic demand

Robust fleet planning under stochastic demand

Sa, C.A.A.

Santos, B.F. (mentor)
Clarke, J.P. (mentor)

Aerospace Engineering

Air Transport and Operations

2016-05-27

The research objective of this thesis is to develop an innovative airline fleet planning concept that is capable to consider the long-term stochastic nature of air travel demand while generating meaningful results in reasonable computation times. The proposed methodology aims to identify robust fleets, in terms of profit generating capability across a long-term planning horizon under stochastic demand, through the adoption of a portfolio of fleets (each of different size or composition) and a three-step modeling framework. The three models involve the simulation and sampling of stochastic demand using the mean reverting Ornstein-Uhlenbeck process, iteration over an optimization model that optimally allocates each fleet from the portfolio given the demand sample values, and a scenario generation model that generates scenarios across the planning horizon. A case study is presented and serves as proof of concept.

airline fleet planning
stochastic demand
optimization

http://resolver.tudelft.nl/uuid:13fd72f6-946b-4fc1-bcfd-ee1d737abe85

https://doi.org/10.4121/uuid:90abf0a2-369e-4a52-9a2c-518ab9f66478

Student theses

master thesis

(c) 2016 Sa, C.A.A.