Revenue Management

Revenue Management deals with the tactical and operational control of services – classically through price and availability control while accounting for capacity constraints. It is among the most successful applications of data- and method-based decision support in business practice. In this context, our research focuses on dynamic control mechanisms using mathematical optimization, learning-based methods, and endogenous modeling of customer choice behavior. A special emphasis is placed on substitution mechanisms such as product upgrades or flexible products.

Last-Mile Logistics

The last mile of delivery remains the most inefficient – and therefore most expensive – segment of modern logistics processes despite all scientific advances. Our research in the field of Last-Mile Logistics focuses on delivery concepts like Attended Home Delivery with scheduled time-window doorstep delivery, Same-Day Delivery with even stricter requirements due to extremely short planning and execution deadlines, and Out-of-Home Delivery concepts such as parcel lockers. Central to our control mechanisms are dynamic pricing and decisions about offering time windows, taking into account downstream logistics processes, such as route planning.

Smart Mobility Services

Digital mobility services such as carsharing, ride pooling, or on-demand shuttles are transforming access to both urban and rural mobility. In the Smart Mobility Systems research area, we develop methods for planning and managing these offerings. Our work focuses on control mechanisms through dynamic pricing and availability management, taking into account regulatory frameworks and sustainable system design.