Dipl.-Ing. Till Nikolaus Krieger, M.Sc.
Contact
Room: 1571
till.krieger(at)tum.de
+49 (0)89 289 28204
Office Hours
by appointment
Research interests
- Artificial Intelligence in Inventory Management and Distribution
Teaching
Academic Career and Positions held to date
- Since 01/2024: Research Assistant at the Chair of Logistics and Supply Chain Management, Technical University of Munich
Conference Presentations
- 2025: 8th Annual Meeting of the EURO Working Group on Retail Operations – Barcelona, Spain
Academic Services
- Since 2025: Reviewer for International Journal of Production Economics
Education
- 10/2023: Graduation as Master of Science in Business Administration and Engineering, Technical University of Kaiserslautern
- 08/2023 – 09/2023: Research visit for the master’s thesis at research institute CIRRELT, Montreal
- 09/2023 : Graduation as Diplôme d’Ingénieur in Industrial Engineering, École nationale supèrieure en génie des systèmes et de l’innovation
- 08/2021: Graduation as Bachelor of Science in Business Administration and Engineering, Technical University of Kaiserslautern
Scholarships and Awards
- 2022: Hornbach Holding AG Study Award
- 08/2023 – 09/2023: DAAD Scholarship (German Academic Exchange Service)
Practical Experience
- 10/2022 – 03/2023 : Internship Sanofi (Supply Chain Management), Gentilly (Paris)
Bachelor Theses:
- Censored Demand in Retail: An Overview
- A Literature Review: Obsolescence in Inventory Management
- Predicting Container Charter Rates Using Machine Learning: A Data-Driven Approach for the Shipping Industry
- Demand Substitution in Assortment Optimization in Retail
- Product Delivery and Placement Behavior at Points of Sale in Print Media Distribution
Master Theses:
- Hierarchical Forecasting in Print Media Distribution
- A Cluster-Based Data-Driven Inventory Management Approach: A Case Investigation
Project Studies and Interdisciplinary Projects:
- Demand Uncensoring and Inventory Optimization in Print Media Distribution
- Clustering of Point of Sales and Sales Forecasting in Print Media Distribution
- Reinforcement Learning for Assortment Decisions in Retail
For open topics, please see here.