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 ManagementTransportation LogisticsProduction AnalysisLogistics 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.

» Please apply for a topic (area) here.

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Topic Overview Prof. Hartl: Production and Logistics

Suggestions in the following topic areas are welcome:

(will be updated soon)

» Please apply for a topic (area) here.

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

» Please apply for a topic (area) here.

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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

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