Pascal Wissink
Position
- Assistant Professor, Logistics, Data and Uncertainty, Operations Analytics
Research focus
Dependencies in stochastic networks based on AI technologies.
Research Description:
Our research aims to use data analytics to reveal explanatory relationships and interactions. Some of his ongoing projects, for example, investigate the relationships between the uncertain customer presences in a transportation network for parcel delivery, the interactions between stakeholders in a supply chain network for the pharmaceutical industry, a project about Blood Collection Operations where he applies this expertise, as well as in an NWO project about the resilience of Dutch pharmaceutical supply chains following the COVID-19 outbreak.
Pillars
- Technological challenges
- Health challenges