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Computations of the demand for ground resources at KLM

Rood, J. (2018) Computations of the demand for ground resources at KLM.

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Abstract:The demand for ground resources at KLM Royal Dutch Airlines is determined by extensive resource planning tools that do not take any form of flight delay into account. This thesis proposes machine learning models that provide a quick estimation of the demand for ground resources during the flight network scheduling phase. These models show that this demand, as planned by current extensive calculations, can be estimated with a sufficient error in a significant smaller amount of time. Furthermore, methods to include flight delay in ground resource planning are explored. The described machine learning models can be used in combination with simulation to give an indication of the resource demand on the day of operation, where flight and process delays can occur. Another approach to determine the expected demand for ground resources on the day of operation in the form of a time-inhomogeneous continuous time Markov chain model is proposed. A method of iterative state space exploration and dynamic truncation is described in order to evaluate such a model.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics
Programme:Applied Mathematics MSc (60348)
Link to this item:http://purl.utwente.nl/essays/74625
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