Short term predictive demand model based on transport times for the reverse supply chain: A case study at KLM Engineering & Maintenance Component Services 2.0

The aviation Maintenance, Repair and Overhaul (MRO) industry faces an enormous growth due to the increasing air traffic. To accommodate this growth and increase efficiencies of processes it is required to increase the transparency of demand in the Supply Chain (SC). Research into predicting demand in the MRO industry have mainly been focused on...

Seamless Luggage Experience: From a hospitality sector perspective

This master thesis is part of the Horizon 2020 funded research project Personalized Airport Systems for Seamless Mobility and Experience (PASSME). The goal of this research project is to reduce door-to-door travel time for passengers (PAX) traveling within Europe by 1 hour and at least improve the overall travel experience for 70% of all PAX.<br...

Machine learning based aircraft arrival / departure registrations

The aviation industry is vastly growing, as travelling by air is more common today than it ever was. However due too inefficiency and lack of communication of accurate flight information between airports, congestion and delays are occurring on a daily basis. While Collaborative Decision Making (CDM) is developed by Euro control to address this...