Prof. Dörner: Supply Chain Management
Suggestions in the following topic areas are welcome:
Real world case studies with applications of planning problems learned in the courses Supply Chain Management, Transportation Logistics, Production Analysis, Logistics and Material Management. A meeting can be arranged to discuss the proposed topic and concept.
Prof. Ehmke: Business and Transportation Analytics
Suggestions in the following topic areas are welcome:
- Descriptive, predictive and prescriptive analytics in services and transportation
- Analysis and prediction based on large amounts of operational data
- Transportation planning
- Innovations in services and transportation through analytics
- Planning of future autonomous transportation services
- Prediction of traveler behavior based on historical data
Or choose a topic from the following list. » Please apply for a topic (area) here.
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Topics under supervision / finalized (Prof. Ehmke)
Currently under supervision
- Optimizing Urban Waste Collection
- Railway Crew Scheduling
- Green Incentives in Customer Acceptance for Vehicle Routing
- Mobile Parcel Lockers and Bike Delivery
- Decision-focused learning for vehicle routing
- Multi-Depot Vehicle Routing for Attended Home Deliveries
- Congestion zones in routing
- Reliability in Vehicle Routing
- Vehicle Routing Problems with Congestion/Mixed Fleets
- Mitigating Disruptions in Testing Kit Supply Chain: Strategies for Risk Management and Contingency Planning
- Location Inventory Problem for Perishable Products
- Multi-Depot Green Vehicle Routing Problem
- Integrated Locomotive and Crew Scheduling Problem
- Optimizing restaurant meal delivery: integrating drones and electric bicycles to minimize delivery time
- Reinforcement learning for vehicle routing problems
- Machine Learning for Attended Home Deliveries
- Utilization Forecasting of Long-Distance Trains at ÖBB
Finalized
- For a full list of supervised Master's theses, see here
(last updated: 12-09-2024)
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Topic suggestions (Prof. Ehmke)
Topic More details Balancing Workload in Vehicle Routing Problems
- Melian-Batista B. et al. (2014): A bi-objective vehicle routing problem with time windows: A real case in Tenerife
Tom Bormann/ Prof. Ehmke The Consistent Traveling Salesman Problem
- Subramanyam A. & Gounaris C. E. (2016): A branch-and-cut framework for the consistent traveling salesman problem
Tom Bormann/ Prof. Ehmke Sensor-based Waste Management
- Maximiliano Cubillos, Remy Spliet, Sanne Wohlk (2022): On the effect of using sensors and dynamic forecasts in inventory-routing problems
Prof. Ehmke Integrated picking and routing for attended home deliveries
- Ruben D'Haen, Katrien Ramaekers, Claudia Archetti, Kris Braekers (2024): Integrating order picking and vehicle routing decisions in a dynamic e-commerce setting
Prof. Ehmke Routing in railway transportation with stochastic travel times and uncertainty
- Camilo Ortiz-Astorquiza, Jean-François Cordeau, Emma Frejinger (2021): The Locomotive Assignment Problem with Distributed Power at the Canadian National Railway Company
- Jan Fabian Ehmke, Ann Melissa Campbell, Timothy L. Urban (2014): Ensuring service levels in routing problems with time windows and stochastic travel times
Dr. Joshi/
Prof. EhmkeOptimizing the Utilization of Mobile Parcel Lockers with Slot Management
- Schwerdfeger, S., & Boysen, N. (2020). Optimizing the changing locations of mobile parcel lockers in last-mile distribution.
- Agatz, N., Campbell, A., Fleischmann, M., & Savelsbergh, M. (2011). Time slot management in attended home delivery.
Prof. Ehmke/
Rico Kötschau
Topic Overview Prof. Hartl: Production and Logistics
Suggestions in the following topic areas are welcome:
(will be updated soon)
Ass.-Prof. Tilk: Prescriptive Business Analytics
Suggestions in the following topic areas are welcome:
- Heuristic and exact optimization methods for logistic problems
- Vehicle Routing, Network Design, Warehousing, Scheduling, ...
- Integrating machine learning to improve optimization algorithms
- Last-mile delivery
- Multi-echelon distribution systems
- Innovative delivery strategies
- Shared Mobility