The distribution process of multi-dose vaccines: A robust optimization approach to supply uncertainty

The distribution chain of two-dose vaccines by an air carrier (KLM cargo) with its practical features is modelled to study the influence of supply uncertainty. First the goal is to find an efficient solution approach for the model which gives good quality solutions in reasonable computation time. Secondly with the developed solution method the...

Simulation-based optimization for rebalancing the fleet of vehicles in free-floating shared mobility systems

In recent years, shared mobility systems have had a growing presence in cities all over the world. This is understandable given its numerous advantages such as the reduced need for personal vehicle ownership, reduced traffic congestion and emissions, increased parking efficiency, and cost savings for users. Overall, shared mobility systems offer...

Controlling Spillback Effects In Multimodal Real-time Controlled Traffic Systems

When traffic demand is high and the intersection lacks throughput, oversaturated traffic phenomena occur, such as the oversaturation of a turning bay or intersection link. When such unsafe situations emerge, control strategies can be applied to handle or avoid these spillback effects. In this paper, a spillback component is designed that detects...

A real-time energy management system for a grid-connected solar park using an electrolyser in the Netherlands: Optimizing to maximize the revenue

This paper describes a real-time energy management system developed for a solar park in the Netherlands using an alkaline electrolyser. The optimization problem is split into a two-step optimization, taking into account the specifications of the electrolyser and allowing the electrolyser to respond to changes in the imbalance market. The first...

Incorportation of reservations in an on-demand ridesharing system

With increasing urbanization and a need to reduce greenhouse gas emissions, new forms of urban mobility are studied worldwide. An interesting transportation method is ridesharing, where people can share parts of their rides with other passengers travelling in a similar direction in the same car. To im- prove the attraction of ridesharing systems...

Repositioning in shared mobility systems: Combining model predictive control and approximate dynamic programming

The global market for personal mobility has transformed over the last decade. Traditional taxi services have to compete with the emergence of ride-hailing services such as Uber and Lyft. Rapid developments in available algorithms and real-time inter-connectivity of travellers and vehicles offer mobility-on-demand (MOD) services new possibilities...

Learning-based path planning for automatic guided vehicles in container terminals: A case study at TBA Group

This thesis has provided insight into how machine learning can be beneficial to path planning in container terminals. Path planning algorithms can be used in environments with automated vehicles. A well known algorithm is the A* path planning algorithm, which is the fastest optimal path planning algorithm under satisfied conditions. However, the...

Short-Term Forecast of Demand for Train Station-Based Round-Trip Bikesharing: A Case Study of OV-fiets in The Netherlands

Around the world, authorities try to increase the attractiveness of multimodal public transport (PT)-related trips to reduce car usage. To achieve this, a seamless combination between the different modes is necessary. The Dutch train station operator NS tries to enhance the combination of the bike and train by providing a train station-based...

Potential Impact of Car-Based Crowdshipping on Vehicle Mileage and Carbon Dioxide Emission: An Agent-Based Modelling Study Case

The significant growth in B2C e-commerce in the last decade increased the traffic and volume of parcels in last-mile delivery significantly. To mitigate the impact of the last-mile delivery service such as the increased traffic and carbon dioxide (CO2) emission, crowdshipping emerged as an innovation that utilise the travelling crowd as...

Documentation Flow Analysis: To improve project execution

Current challenges at Damen Technical Cooperation (DTC), regarding an imperfect procedure for documentation sharing, misalignment and quality issues in documentation flow, are the motivation for this master thesis. DTC is a company within the Damen Group that offers a unique service for shipyards; a variety of material and service packages to...

Data-Driven Transportation Planning for a Large Manufacturing Plant: Analysis and development of a planning support tool for the internal transportation at Tata Steel IJmuiden

Planning the on-site transportation of large manufacturing sites is a complex process. Currently these plans are made based on the on-site logistics constraints rather than on KPIs. Research has been focused on either analysis of system parameters or generally on KPIs, but lacks the combination of both on real-life cases. This gap is closed by...

Scheduling optimization in a refinery for vegetable oils

A mathematical model has been developed to determine the timing of the tasks that can be performed on a variety of units to produce a variety of end states and to monitor the flow of the material through the network. The mathematical model is based on the work of Kondili et al. (1993) and is extended with the ability to monitor and restrict the...

User-Based Rebalancing by Dynamic Pricing in Free-Floating Vehicle Sharing: A Case Study with Multiple Living Labs

Dynamic pricing can be used for better fleet distribution in free-floating vehicle sharing (FFVS), and thus increase utilization and revenue for the provider by reducing the supply-demand asymmetry. Supply-demand asymmetry refers to the existence of an undersupply of vehicles at some locations at the same time as underutilization of vehicles at...