Machine Learning Framework for Predicting Vaccine Immunogenicity - The ability to better predict how different individuals will respond to vaccination and to understand what best protects individuals from infection greatly facilitates developing next-generation vaccines. We present a general-purp...

Scheduling Crash Tests at Ford Motor Company - We present the problem of scheduling crash tests for new vehicle programs at Ford. We developed a completely custom-made scheduling system that transforms a labor-intensive scheduling process relying on high levels of expertise, to a more automated o...

Strategic Re-design of Urban Mail and Parcel Networks at La Poste - We devise a decision model that allows La Poste, the French postal operator, to assess the benefits of merging the urban mail and parcel delivery networks which used to be run as separate entities. Based on data from the French c...

Using Analytics to Enhance Shelf Space Management in a Food Retailer - This talk describes a collaboration with the leading Portuguese food retailer, addressing the allocation of products to shelves. The result is GAP, a DSS that is today used on a daily basis. GAP has a modular structure and sys...

Integrated Planning of Multi-type Locomotive Service Facilities under Location, Routing and Inventory Considerations - Long term infrastructure planning of locomotive service facilities is vital to the efficiency of the railroad. We developed a large-scale optimization model that integrates decis...