• Source: Scopus
20112022

Content available in repository

If you made any changes in Pure these will be visible here soon.

Personal profile

Research profile

Willem van Jaarsveld is Associate Professor in Stochastic Optimization and Machine Learning at Eindhoven University of Technology (TU/e), in the OPAC group. His main research interest is stochastic optimization, using a diverse set of methodologies including Deep Reinforcement Learning, Stochastic Programming and Dynamic Programming. Applications areas include data-driven inventory control, supply chain management, and maintenance logistics. Apart from working towards scientific impact, he aims to make an impact in practice by working closely with several companies to facilitate the implementation of the methods he develops in practice. His research on optimization of spare parts inventories has been applied at various companies, including Fokker Services and Shell Global solutions. 

Academic background

Willem van Jaarsveld received MScs in Physics and in Econometrics and a PhD in Operations Research from Rotterdam Erasmus University in 2013. He spent a year of his PhD candidacy at Carnegie Mellon University. After graduation, we worked as an assistant professor at the Erasmus School of Economics, prior to joining the OPAC group in 2015.

Affiliated with

IEIS

Partners in (semi-)industry

NS Maintenance

Fokker Services

Philips Healthcare

ASML

VDL-ETG

HILTI

Quote

In the operations management field there is nothing which promotes theory building better than working with companies in order to overcome real practical challenges.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics where Willem L. van Jaarsveld is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or