Machine learning based trajectory prediction to support demand forecasting: A Transformer Neural Network Approach

Air traffic sector demand and capacity balancing is an important process to enable safe and efficient flight execution. In current operations, demand and capacity are determined based on schedules and flight plans. In reality, disruptions to flights create a different situation that may not have been anticipated by the Air Navigation Service...

Kiosk Strategic Demand Forecasting with Scenario Planning: A case study at SITA

SITA is the world’s leading specialist in air transport communications and information technology which works with around 400 air transport members and has 2800 customers in 190 countries. TS6 kiosk is the newest generation of its kiosk family and is facing a complicated situation now. Usually, the production of a kiosk is using make-to-order...

Spare Parts Demand Categorisation in the Defence Material Organization: Assessing the applicability and effectiveness of theoretical categorization schemes and statistical demand forecasting methods in a real-world setting of weapons systems related spare parts demand

In this thesis the current inventory control at the Defence Material Organisation is analysed in light of the pending implementation of the SAP-ECC/DFPS ERP-system for demand forecasting and inventory control. The scope for this research has been set on the demand forecasting of weapon systems related spare parts under training and peace-time...