Minimising Cost by Dynamic Modelling of Aircraft Recovery in Disrupted Operations

decision support system for airline disruption management at KLM Cityhopper

Abstract: The operations of KLM Cityhopper (KLC) is a complex undertaking. Many safety, statutory and contractual rules and agreements need to be considered for managing its operations. Hence, KLC spends considerable time, effort and money on planning its resources carefully. Unfortunately, it is all too common that unforeseen events during the...

Managing supply chain risks and disruptions at an inland terminal with a focus on inter-organizaitonal collaboration challenges: A case study at the inland terminal Alpherium in collaboration with Heineken

This double degree thesis focuses on supply chain risk and disruption management at an inland terminal, while taking into account the inter-organizational collaboration challenges between the shipper and the inland terminal. The case study is used in combination with an integrated framework for managing supply chain risks and disruptions found...

Managing disruptions in rail-bound urban public transport from a passenger perspective

Disruptions in public transport systems highly affects the evaluation of passengers of these systems. This research provides a framework for urban public transport operators to use in the management of disruptions, with a main focus on the passenger perspective of the management of disruptions, but also considering the operational effects of...

Identification and cause isolation of Dutch rail dispatching system failure notifications

This research assesses if, and how, the disruption-management process of the Dutch rail infrastructure manager ProRail could be improved with better use of additional information. Through mapping the system elements in a fault tree (FT), the causes of a failure notification can be visualised. After identifying other effects for all failing...

Managing disruptions in public transport from the passenger perspective: A study to assess and improve operational strategies for the benefit of passengers in rail-bound urban transport systems

Double graduation. Second faculty is: Technology, Policy and Management. Department: Transport, Infrastructure and Logistics. Disruptions in public transport, if not properly addressed, can have consequent impacts on passengers, but also on public transport operators, translating into revenue loss. Yet so far, both operators and researchers have...

Aircraft Disruption Management: Increasing Performance with Machine Learning Predictions

Airlines experience schedule disruptions on a daily basis. Poor weather conditions, unscheduled aircraft maintenance and congested air spaces are just a few of the causes that prevent airlines from operating their flight schedules as planned. In the third quarter of 2017 over 20% of all scheduled flights in Europe suffered from delays. Operation...

Berth Planning and Disruption Recovery: A Simulation Approach

With the increasing amount of container freight transport and the increasing size of container vessels, for the Port of Antwerp, the second largest container port in Europe, a critical task is port planning. A simulation model provides the means to gain proper insight in the effect of future expansions. Macomi, a company specialized in...

Airline maintenance task rescheduling in a disruptive environment

Scheduling of airline maintenance tasks takes place in a disruptive environment. The stochastic arrival of non-routine maintenance tasks causes schedules to be adjusted continuously. Within this research a mixed integer linear programming model for airline maintenance task rescheduling in a disruptive environment is presented. Task scheduling is...

Socio-Technical Agent-Based Modelling of Decision-Making in an Airline Operational Control Center: Application to an unexpected diversion use case at KLM CityHopper

This paper proposes a socio-technical agent-based model developed to increase the understanding of decision-making in an airline operational control center (AOCC). In this model human decision-makers, a Decision Support Tool, and technical systems are included. The selected case study encompasses the<br/>unexpected diversion of a flight from...

A greedy approach to the minimisation of deviations of the dynamic vehicle routing problem with electric taxiing systems: Master of Science Thesis

In order to reduce aircraft emissions during on-ground operations, electric taxiing systems (ETS) have been intensively researched to take over or assist in part of the taxiing phase of a flight. One of these ETS is the TaxiBot, deployed by Smart Airport Systems (SAS). While a number of papers have been researching this vehicle routing problem ...

A data-driven approach for evaluating the resilience of railway networks

Disruptions occur frequently in railway networks, requiring adjustments to the timetable, rolling stock planning and crew planning while causing delays and cancellations. Although the evolu­tion of system performance during a disruption can be visualized in the resilience curve, not much is known about performance during disruptions or the...

The Air Freight Flight Schedule Development Problem: AFFSDP

In this paper, we introduce the Air Freight Flight Schedule Development Problem (AFFSDP). In this problem, a cargo-only carrier has to adjust an existing flight schedule based on changes in the predicted demand. The result of this research is a model that combines airport selection, fleet routing and cargo routing, together with the use of a ...

Railway disruption management with passenger-centric rescheduling

Railway networks are subjected to disruptions on a daily basis, which may make the timetable unimplementable, which in its turn may significantly influence passenger satisfaction. In practice, train dispatchers are responsible for mitigating the influence of disruptions, such as delays of trains, train cancellations, and overcrowdedness at...

Reserve Fleet Optimisation: Assessing airline operational performance impact of capacity changes on past operations

Airline reserve fleet capacity is a strategic resource that provides airlines the means to add robustness to their schedules. This paper focuses on leveraging past data on airlines' execution of planned schedules (resulting delays, cancellations and missed connections), along with the disruptions that prohibited the flawless execution of the...