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            • Theses Supervision | Dr. Sandra Lechtenberg
 
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Dr. Sandra Lechtenberg
Guest Researcher

Chair of Information Systems and Supply Chain Management

Leonardo Campus 3
48149 Münster


sandra.lechtenberg@ercis.uni-muenster.de

ShortURL: ERC.IS ShortURL erc.is/p/lechtenberg

  • About
  • Publications
  • Courses
  • Theses Supervision
  • Supervised Theses

    • Implementation and Evaluation of Optimization Approaches to Support Operational Freight Routing (Master's thesis IS, 2023)
    • Data-driven analysis of corners in professional football (soccer) – Development of an approach to identify and evaluate chaos and wave situations (Master's thesis IS, 2023)
    • Development of a model for data-driven performance analysis of distribution processes in spare parts supply chains (Bachelor's thesis IS, 2022)
    • A Conceptual Framework for the Implementation of Artificial Intelligence in the Automotive Industry (Master's thesis IS, 2022)
    • Evaluation of Mobility-as-a-Service models considering different city characteristics (Bachelor's thesis IS, 2022)
    • Identification of Route Planning Algorithms for Autonomous Taxis (Bachelor's thesis IS, 2021)
    • The influence of freight exchanges on the processes of road freight transport industry (Bachelor's thesis BA, 2021)
    • Development of a functional concept for a "crowd delivery" platform (Bachelor's thesis IS, 2021)
    • Application possibilities of data mining for production planning and control (Bachelor's thesis BA, 2021)
    • Identification of measures to reduce the amount of product returns in e-commerce (Bachelor's thesis BA, 2021)
    • 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)
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Contact

Information Systems and Supply Chain Management
Prof. Dr.-Ing. Bernd Hellingrath

Leonardo-Campus 3
48149 Münster
Germany

Tel.: +49 251 83-38000
Fax: +49 251 83-38009
bernd.hellingrath@ercis.uni-muenster.de

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