MKB Datalab

The employees of ambulance service RAVU have many different employment contracts and schedule preferences, which leads to a considerable schedule puzzle. To save planners time, MKB Datalab has developed a schedule optimization tool.

MKB Datalab helped to optimize the waste disposal process by creating a model that predicts how full an underground container is. Thanks to this insight, Welvaarts Weegsystemen can help waste services dynamically change their route and empty containers more efficiently.

Merford is a specialist in noise control. The prices and duration of their projects vary widely, which makes it difficult to predict the profit margin of projects. Thanks to the Early Warning System MKB Datalab developed, Merford can minimize unforeseen project costs.

VIA is an ICT agency that offers insights into traffic safety statistics through its own software. The MKB Datalab has helped VIA with this by developing an algorithm together to clarify these statistics.

For Bakery Royal, students from JADS MKB Datalab worked out a data model that predicts the influence of weather conditions on turnover, and on personnel planning.

During the Van Goghs Intimi exhibition in Het Noordbrabants Museum, JADS conducted a unique experiment that provides insight into the movement and behavioral patterns of visitors to the exhibition - inside and outside the gates of the museum.