Theses Supervision | Sandra Lechtenberg | Department of Information Systems

Sandra Lechtenberg, M.Sc.
Research Assistant

Chair for Information Systems and Supply Chain Management

Leonardo-Campus 3
48149 Münster

Room: 117

Phone: +49 251 83-38012
Fax: +49 251 83-38009
sandra.lechtenberg@ercis.uni-muenster.de

Position on campus:
Leonardo Campus

ShortURL: ERC.IS ShortURL

erc.is/p/lechtenberg

Supervised Theses
- Minimizing empty runs by including backloads in the dynamic environment of a freight exchange (Master's thesis IS, 2021)
- A systematic analysis of artificial intelligence methods for inventory management (Bachelor's thesis IS, 2020)
- Guidance for digitalizing the supply chain of small and medium-sized enterprises (Bachelor's thesis IS, 2020)
- Developing a three-step approach to assess the applicability of Vendor-managed-inventory (VMI) for humanitarian logistics based on relief item classification (Master's thesis IS, 2020)
- Process-Mining-Driven Visualization and Performance Analysis of Logistics Networks (Master's thesis IS, 2020)
- Developing a reference process for implementing and enabling the interpretation of machine performance KPIs (Master's thesis IS, 2020)
- Application possibilities of digitalization for enhancing the process of product recalls in automotive industry (Bachelor's thesis BA, 2020)
- Forecasting of Spatio-Temporal Freight Demand - Method Selection in the Context of Freight Exchanges (Master's thesis IS, 2019)
- Machine Learning based Automated Speech and Text Recognition in the Context of Video Knowledge Management (Master's thesis IS, 2019)
- Application possibilities of artificial intelligence in distribution planning (Bachelor's thesis BA, 2019)
- Modelling and Automation Analysis of the Maritime Freight Forwarding Process on the Case of Fr. Meyer's Sohn (FMS) (Master's thesis IS, 2019)
- Evaluation of replenishment actions and identification of parameters suitable for a customized replenishment strategy: A Case Study of Gerry Weber (Master's thesis IS, 2018)
- Evaluation of the advantages of using Vendor-Managed-Inventory for humanitarian logistics (Bachelor's thesis IS, 2018)

Supervised Theses