Integration of Condition Based Maintenance in the Preventive Maintenance Planning of Rolling Stock

Planning rolling stock maintenance based on prognostic data (Condition Based Maintenance, CBM) is a trend since the ideal timing for maintenance before failure can be planned. With the use of prognostics, a failure can be predicted so Corrective Maintenance (CM) can be avoided. Traditional rolling stock decision-making for Preventive Maintenance...

Mixed Integer (Non-) Linear Programming Formulations of Graph Neural Networks

Recently, ReLU neural networks have been modelled as constraints in mixed integer linear programming (MILP) enabling surrogate-based optimisation in various domains as well as efficient solution of machine learning verification problems. However, previous works have been limited to multilayer perceptrons (MLPs). The Graph Convolutional Neural...

A Smart-Charging Algorithm Development Considering Uncertainties in the System

With the current urge around the globe for switching to “green energy” and Renewable Energy Sources (RES) utilization, the electrification of the transportation sector has become a necessity. While the emerging Electric Vehicles (EVs) can provide several benefits to the power grid, such as voltage and frequency regulation and power quality...

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...

Annualized hours: Comparing an exact optimization model with its approximation

In this thesis, we propose two mixed integer linear program formulations for an optimization problem that incorporates annualized hours: an exact one and an approximation. The objective of our model consists of three weighted parts: a part which minimizes the difference between working hours and contract hours for each employee per week, a part...

Route Optimisation For Mobility-On-Demand Systems With Ride-Sharing

Privately owned cars are an unsustainable mode of transportation, especially in cities. New Mobility on Demand (MoD) services should offer a convenient and sustainable alternative to privately owned cars. Notable in this field is the recent uprise of ride-sharing services such as offered by companies like Uber and Grab. Such services, especially...

Development and Validation of Short-term Mine Planning Optimization Algorithms for a Sublevel Stoping Operation with Backfilling

Improved Flexible Runway Use Modeling: A Multi-Objective Optimization Concerning Pairwise RECAT-EU Separation Minima, Reduced Noise Annoyance and Fuel Consumption at London Heathrow

A minimization of disturbance caused by aircraft noise events and a reduction of fuel consumption during the initial and final phase of flight. These are the two objectives that play an important role in the Flexible Runway Allocation Model. By taking into account fuel consumption alongside noise annoyance, this model enables to analyze and...

Optimizing truck driver schedules with dependent working shifts, drivers' legislation, and multiple time windows

In logistics, minimizing the resource expenses can be done by minimizing the total number of hours that each truck driver has to work. This sum of working hours is referred to as the total schedule duration for all truck drivers. Minimizing this total schedule duration is the main goal in the optimization problem that we consider. The considered...

Tailored SID & Profile Allocation for Amsterdam Airport Schiphol

Currently, only one Standard Instrument Departure (SID) track and one flight procedure is used per runway departure fix combination. In contrast to tailored arrivals, the potential benefit of tailored departures has been left relatively undiscovered. The research objective is to quantify the potential benefit of tailored SID-s and profile...

Flexible Arrival & Departure Runway Allocation Using Mixed-Integer Linear Programming: A Schiphol Airport Case Study

Runway capacity of a complex runways system can be limited by several factors. Currently, the runway usage at Amsterdam Airport Schiphol (AAS) is described by a preference list established by multiple stakeholders. It makes an important trade-off between minimizing noise exposure to the environment and maximizing capacity. The existing model...

Developing a Multi-Product Predictive Decision Support System with Implied Seasonality in a Cocoa Liquor Supply Chain Network