Currently (23 Nov 2021): MSc project vacancy open at KLM - mathematical optimization for scheduling under uncertainty!
I have supervised a number of MSc projects, both done as a internship in a company (TNO, ORTEC, Ab Ovo, Districon, Quo Mare, KLM, Sweco, Outperform, Shell, Blauw Research) as well as academic ones. Click the TU Delft repository link and the Erasmus University Rotterdam link to the publicly available theses I supervised. Here I offer a quick list of research questions that have been addressed.
Can we accelerate the working of an optimization heuristic by using machine learning tools to learn from the solutions to the past problems?
How and when to dispatch fashion items to stores, given the uncertainty about the customer demand in a new season?
How to schedule oil extraction in a long horizon given uncertainty about the environmental policies and commodity prices?
How to schedule the expansion of a city's multi-energy network in face of changing demand and striving for a "green shift"?
How to (re)schedule doctors doing their specialist training over multiple locations?
How to optimize a rental service facing the fact that customers are often late with returning their items, that we would like to rent to someone else?
How to optimize the placement of green (plants), yellow (photovoltaic panels) and blue (water storage) roofs throughout a city?
I have a number of ideas for smaller student projects. Typically, they will revolve around taking a particular paper considering optimization affected by uncertainty, and either (i) attacking, i.e., trying to find the fallacies of their approach, (ii) improving their approach to consider more complicated cases.
Please find here, here and here the links to the BSc projects I proposed in year 2020/2021.