Christoph Kerscher, M.Sc.


Room: 1563
Tel:  +49 (0)89 289 28203


Office Hours

by appointment

Research interests

  • Methods:
    • Optimization under uncertainty
    • Machine Learning
  • Topics:
    • Future Mobility
    • Data-Driven Optimization in Operations Management

Current teaching (Winter 2022 / 2023)

Academic Career and Positions held to date

  • Since 10/2021: Research assistant at the Chair of Logistics and Supply Chain Management (Prof. Dr. Stefan Minner), Technical University of Munich

Academic Services

Academic Education

  • 2018: Graduation as Master of Science in Industrial Engineering (M.Sc.) at University of Duisburg-Essen
  • 2016: Term abroad at Nanyang Technological University, Singapore
  • 2015 – 2018: Studies of Industrial Engineering at University of Duisburg-Essen
  • 2015: Graduation as Bachelor of Science in Industrial Engineering (B.Sc.) at University of Magdeburg
  • 2011 – 2015: Undergraduate studies of Industrial Engineering at University of Magdeburg

Professional Experience

  • 2020 – 2021: Senior Analyst Strategic Fleet Management at Sixt SE, Munich
  • 2018 – 2019: Consultant Data and Analytics at Ernst & Young GmbH, Munich

Master Theses:

  • Solving vehicle routing problems with minimum utilization constraints

  • Applying deep reinforcement learning in transportation optimization

  • Evaluation strategies for clustering approaches in the context of vehicle routing problems

  • Decomposition methods for large-scale VRPTW

  • Decomposition strategies for vehicle routing problems with a heterogenous fleet

  • Solving vehicle routing problems with pickup and deliveries subject to loading and unloading constraints

  • Using machine learning methods to reduce large vehicle routing problems

Bachelor Theses: 

  • Measuring visual attractiveness in routing problems

  • Real-time vehicle routing: Problem, methods, data, and evaluation

  • Knowledge graphs in logistics networks: Applications and use cases for supply chain innovation

  • The stochastic traveling salesman problem with temporally and spatially correlated travel times: Models, methods and applications

Project Studies:

  • Clustering of vehicle routing problems with heterogeneous fleet (in cooperation SAP Labs Munich)

  • Delivery route re-optimization using real-time data on mobile device (in cooperation SAP Labs Munich)

Interdisciplinary Projects for Informatics (IDP)

  • Real-time routing strategies for the capacitated vehicle routing problem (in cooperation SAP Labs Munich)