Engine Shop Visit Scheduling: A Reinforcement Learning Optimization Approach

The scheduling of engine shop visits quickly becomes a complex problem to solve as the number of aircraft and engines increases. In recent times, different approaches have been used to tackle this problem and optimize schedules, reducing costs and increasing revenue. This paper formulates the ESV scheduling problem as a Markov Decision Process...

Parallel machine scheduling under uncertainty

This report investigates a scheduling problem where task duration is uncertain. The duration per task has a lower and upper bound, and is dependent on observed duration of other tasks. This tries to closer model real life. We reduce all possible different outcomes to a few extreme scenarios. The report compares two types of heuristcs: one which...

Integration of port approach in the port call: Using information-sharing and Virtual Arrival for the reduction of vessel emissions

In 2018, the International Maritime Organization (IMO) adopted a resolution to reduce the emission of greenhouse gasses of maritime shipping in the near future. A reduction of 50% in CO2-emissions is the goal for the year 2050 in comparison to 2008. Furthermore, the peak in emissions should lie before 2025 and steadily decrease afterwards.<br/...

Coordination of scheduling decisions in the management of airport airspace and taxiway operations

This paper addresses the real-time problem of coordinating aircraft ground and air operations in an airport area. At a congested airport, airborne decisions are related to take-off and landing operations, while ground (taxiway) decisions consist of scheduling aircraft movements between the gates and the runways. Since the runways are the...

Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions

This paper evaluates the capacity consumption on a Dutch railway line both under scheduled and disturbed traffic conditions. For the scheduled condition the standard UIC compression method is used, while the computation of capacity consumption under disturbed conditions requires multiple simulation runs via a Monte Carlo simulation set up. For...

Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions