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 topic suggestions below.
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Topics under supervision / finalized
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
Topic More details Optimizing operations and logistics for floating wind farms
- G. Rinaldi, P.R. Thies, R. Walker, L. Johanning, A decision support model to optimise the operation and maintenance strategies of an offshore renewable energy farm, Ocean Engineering
Dr. Joshi/
Prof. EhmkeRouting and scheduling for rural healthcare services
- Savaşer, Sinem Kınay, and Bahar Yetis Kara. Mobile healthcare services in rural areas: an application with periodic location routing problem.
- Secundo, G., Nucci, F., Shams, R., & Albergo, F. (2022). Optimising workforce efficiency in healthcare during the COVID-19: a computational study of vehicle routing method for homebound vaccination. Production Planning & Control, 35(13), 1593–1607.
Dr. Joshi/
Prof. EhmkeLocomotive Assignment Planning with Delays
- Sarah Frisch, Philipp Hungerländer, Anna Jellen, Bernhard Primas, Sebastian Steininger, Dominic Weinberger (2021): Solving a real-world Locomotive Scheduling Problem with Maintenance Constraints
Gislind Baumgartner/ Prof. Ehmke Energy-efficient Train Scheduling
- Ghoseiri, Keivan; Szidarovszky, Ferenc; Asgharpour, Mohammad Jawad (2004): A multi-objective train scheduling model and solution
- Xiang Li, Dechun Wang, Keping Li, Ziyou Gao (2013): A green train scheduling model and fuzzy multi-objective optimization algorithm
Gislind Baumgartner/ Prof. Ehmke Workload balancing in vehicle routing problems
- Melian-Batista et al. (2014): A bi-objective vehicle routing problem with time windows: A real case in Tenerife
Tom Bormann/ Prof. Ehmke Optimizing delivery routes for sustainable food delivery
- Thipparty et al. 2024): Optimizing delivery routes for sustainable food delivery for multiple food items per order
Tom Bormann/ Prof. Ehmke Energy efficient optimization of locomotive scheduling problem considering dynamic speeds on steep routes
Fatih Kocatürk, PhD/ 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. Ehmke
Topic Overview Prof. Hartl: Production and Logistics
Suggestions in the following topic areas are welcome:
(will be updated soon)
Topic Overview Prof. Tierney: Production and Logistics
Suggestions in the following topic areas are welcome:
- Deep reinforcement learning / machine learning for combinatorial optimization
- Optimization under uncertainty
- Heuristics and metaheuristic methods
- Logistics applications, especially maritime topics
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Topic suggestions
- Work with a start-up working to reduce food waste at retailers
- Inventory simulation of perishable goods
- Order policies
- Deep encodings of optimization models
- Work with an industrial partner on deep learning
- Work with a start-up working to reduce food waste at retailers
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
