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Master Projects


Possible assignments

Operational Support for Analysis and Avoidance of Threats and Vulnerabilities in Global Supply-chain Processes (2 Master projects)

Supply-chain and Logistics processes are facing threats and issues as never before. Because of terrorisms and other forms of undesirable or illegal activities, supply chains are subjected to high vulnerabilities and disruptions. Also, the competition among the different supply-chain providers is requiring a timely and more efficient flow legitimate commerce through the European Union (EU) and other nations around the world. The aim of these Master projects is to demonstrate that vulnerabilities and inefficiencies can be at some degree predicted and recommendations can be given to minimize threats and risks, with tangible benefits to involved stakeholders. During the project to achieve the expected results, students will leverage on techniques that combine Process and Data Mining, such as classification based on decision/regression trees, OLAP technologies, process discovery and compliance checking. Specifically, two Master projects will be offered. A first project is in partnership with Jan De Rijk, a leading provider of transportation and distribution services, operating a large, modern and diversified fleet of 1000 vehicles across Europe. A second project is carried on in collaboration with Portbase, a community that brings together more than 3200 customers in all sectors of the Rotterdam port and provides integration services. In both of projects, students will be working on the datasets of the respective companies and will be given the opportunity to pay multiple visits to the companies and discuss with the different stakeholders

  • How to access and understand the historical event data
  • To discuss the business requirements
  • To present and obtain feedback on the (intermediate) results.

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Afstudeeropdracht Process Mining Liander (Only available in Dutch)

Alliander (voortgekomen uit NUON), is het netwerkbedrijf dat energie levert aan ruim 2,7 miljoen huishoudens, bedrijven en instellingen in Gelderland, Noord-Holland, Flevoland, Friesland en Zuid-Holland. Kernonderdeel van Alliander is de uitvoeringsorganisatie Liander, die het gas- en elektriciteitsnetwerk (schakelstations, leidingen, kabels) bouwt, vernieuwt en beheert en verantwoordelijk is voor het energietransport naar woningen en bedrijven. Liander voert haar werkzaamheden uit voor interne klanten (of ketens). De keten Realisatie Kleinverbruik levert klantgerichte producten en diensten waarmee de klant (huishoudens) verbonden wordt met ons net. Hierbij worden veilige, tijdige en kwalitatief goede aansluitingen inclusief meters gerealiseerd, zodat de klant optimaal en naar eigen behoefte gebruik kan maken van energie. Hetzelfde wordt geboden voor grootzakelijke klanten in de keten Grootverbruik. Daarnaast zorgt Liander ook voor een goed energienet door aanleg en onderhoud uit te voeren. De keten Instandhouding en Storingen is hiervoor verantwoordelijk.

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Big data: finding, refining and monetizing – Making it possible for wheelchair users to travel with BookSpecials

Over the last 20 years the travel industry has changed radically. Through online information sharing, now the whole world lies at everybody’s feet. However, this applies not for the 50-75 million wheelchair users in the world. They are struggling a lot with organizing their day trips and vacations. As a result, they go much less often away, much less far away and many times to the same (dull) destinations. If they want something else, they literally need to do months of research beforehand.

The online travel sites possess huge amounts of data. The problem for wheelchair users is that nothing is categorized or searchable. For example, there are reviews from wheelchair users available on TripAdvisor, but it is impossible to search for them. And when there is data available, it is mostly wrong or incomplete. For example, about 10% of the vacation home rentals state that they are wheelchair accessible. In reality, probably only 2-5% of these actually are. This means that when a wheelchair user for example likes to rent an apartment via Airbnb, that this person probably needs to screen about 50 ‘wheelchair accessible’ listings to find only one that seems accessible indeed. And then, finding the right accommodation is only step one. Next is air travel, public transport, attractions, restaurants, etc.

This project assignment is about how to find, refine, combine, present and monetize all ‘publicly available’ travel information for wheelchair users.

“So that they can do a world trip by themselves as well.”

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Customer Journey Mining to understand customer behavior with Underlined

In today’s multi-channel customer environments, where customers use many different (communication) channels to solve outstanding questions and requests, it becomes increasingly difficult to optimize service levels and provide a memorable experience for customers.

Especially in a complex service environment as healthcare, with high involved customers, there are multiple contacts over the years. Primary concern towards their health care insurance; their health and that they can get the best (covered) service possible to stay healthy!

Underlined and CZ work together to build an agnostic environment in which all traceable, incoming and outgoing, customer contacts (e.g. call, web, e-mail, chat, etc…) are brought together into a unique dataset. This dataset is further enriched with relevant data that can be linked to (unique) customer events for analytical purposes to solve a number of questions how CZ can further build on their service level and optimization of the customer experience.

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Do CHANGE project with Onmi Design

Onmi Design is currently working on the Do CHANGE project, funded in the Horizon 2020 program from the European Commission. In this project they are developing a health ecosystem that provides real-time behaviour change coaching based on input from various sensors. The student would assist in the development of analysis algorithms and integration of these algorithms in the system. For more information on the project please visit

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Distributed optimization of energy consumption for electric vehicles with Enervalis

Sales of electric vehicles are on the rise. This poses a number of challenges for aging grids all across Europe by introducing new peak loads on already stressed grids. The problem is exacerbated by an increasing contribution of renewable energy sources. At the same time, EVs can also form part of the solution as mobile loads which offer flexibility to the grid by offering demand side management. In this context, it is necessary however to balance a number of (often competing) constraints foremost of which is meeting user specifications. These additional constraints include maximal self-consumption of renewable generation (e.g. solar), improving grid quality, taking advantage of market signals directly or by providing flexibility of consumption etc.

The optimization problem is tractable for a single vehicle but becomes more convoluted when applied to many (hundreds or even thousands of) vehicles, each with its own set of constraints. Furthermore, it is problematic both from a logistics (providing communication framework) and privacy (sharing user data) perspective to do completely centralized control. A number of techniques have been proposed to solve for this problem in a general setting ranging from classical optimization algorithms to meta-heuristics, distributed constrained optimization and multi agent reinforcement learning.

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See also the overview of completed master projects.

If you have a master project item for this page, which may include possible master project assignments, on-going master projects, and completed master projects, please send it to Eric Verbeek.

Process mining of collaborative healthcare data - VitalHealth Software



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