Master Thesis

You are very welcome to write your master thesis with us. We always have a collection of open topics available but also encourage students to propose own topics, as long as these relate to our research interests. Please see the details below if you want to apply.

Requirements:

We are looking for students who have a particular interest in Operations & Supply Chain Management (OSCM) and participated in several lectures and seminars within this field. You should possess fundamental mathematical and technical knowledge as well as the modeling and programming skills required to tackle advanced topics in OSCM.

Application:

If you are interested in doing your Master’s Thesis with us, please send an e-mail to lehre.bais@mgt.tum.de with the following information:

  • Curriculum Vitae (incl. finished projects, programming skills/references)
  • Transcript of records (Bachelor and Master)
  • Topic description / Motivation letter (1-2 pages)
    • Own topic: write a short topic description including a motivation, a description of the research gap, and a possible solution approach.
    • General interest: write a motivation letter that outlines your interests and a favored research field.
  • List of relevant courses attended
  • Preferred time frame (earliest possible start 4 weeks after application)

Due to a high workload of ongoing theses, we prioritize applications of students who successfully participated in a course or seminar offered by our chair.

Theses can only be registered on the 1st of a month and the students need to send their documents for application at least one month in advance.

Guidelines:

Guidelines for how to write a thesis are part of our LaTeX template. We would advise you to use LaTeX for your writings for which we can provide the most support.

We ask you to meet with your supervisor on a regular basis to provide updates on your progress and ensure you receive valuable feedback. Your thesis will be graded according to the following criteria:

  • Overall structure of your work
  • Motivation of the research question and discussion of the current literature
  • Selection and application of scientific methods
  • Discussion of your results and conclusions
  • Code quality and documentation

Registration at TUM School of Management:

Once you finalized the topic with your supervisor, you will be officially registered through the TUM-SoM Portal. You will receive an email to confirm the registration - please make sure to do so as soon as possible.


Open Topics

Completed Theses

  • Huang, Yi-Hsi Lawrence: A Comparative Study of Open Set Classification Approaches For Analyzing Customer Order Behavior in the Semiconductor Industry. Masterarbeit, 2023 mehr…
  • Chun Hei Chung: Applying Deep Reinforcement Learning to Optimize Robotic Dispatcher's Policy in a Discrete Event Simulation: Use Case of a Tool Buffer System in Semiconductor Manufacturing. Masterarbeit, 2023 mehr…
  • Vsevolod Kompantsev: Dynamic spend distribution across several advertisement exchanges over multiple time slots with constrained budgets. Masterarbeit, 2023 mehr…
  • Mudit Srivastava: Improving Demand Forecasting Measures in Semiconductor Supply Chains through Sophisticated Machine Learning Models and Customer Order Behaviors. Masterarbeit, 2023 mehr…
  • Robin Maximilian Köhler: Prediction of Charging Point Utilization Using a Machine Learning-Based Surrogate Model of a Multi-Agent Simulation. Masterarbeit, 2023 mehr…
  • Lukas Scheurich: Two-Stage Stochastic Program for the Scheduling and Location Problem in a Flexible Layout. Masterarbeit, 2023 mehr…
  • Ecem Ataç: Optimal Auction Design for Promoting Sustainable Practices in Industrial Procurement. Masterarbeit, 2023 mehr…
  • Franz Felix Heim: A neural network enriched framework for conditional two-stage stochastic optimization problems. Masterarbeit, 2023 mehr…
  • Alexander David Koch: Deep reinforcement learning for last-mile crowdsourced delivery. Masterarbeit, 2023 mehr…
  • Heiko Hoppe: Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. Masterarbeit, 2023 mehr…
  • Jochen Madler: Optimization Techniques for Home Energy Management Systems in Novel Power Markets: A Comparative Analysis. Masterarbeit, 2023 mehr…
  • Julian Schmid: Optimization of Demand Adaptive Systems at the Operational Level. Masterarbeit, 2023 mehr…
  • Christopher Dudel: Selecting Operators in LNS with Reinforcement Learning. Masterarbeit, 2023 mehr…
  • Jee Hyung Kim: Decision Support System Based on State-of-the-Art Deep Reinforcement Learning Models for Vendor Managed Inventory. Masterarbeit, 2022 mehr…
  • Claire Schwartz: Deriving Auction Designs from Performance Pricing Value Graphs in Industrial Procurement. Masterarbeit, 2022 mehr…
  • Philipp Merz: Optimizing multimodal public transportation systems. Masterarbeit, 2022 mehr…
  • Finn Kern: A flexible sustainable urban same-day last-mile multi-pickup and single-delivery system. Masterarbeit, 2022 mehr…
  • Kim-Kira Scheder: Decarbonization of the BMW Group: Develeoping a Strategy for the Location-Dependent Replacement of Natural Gas Using Multi Objective Optimization. Masterarbeit, 2022 mehr…
  • Lena Fiedler: Electric Autonomous Bus Fleet Design with Operational Constraints. Masterarbeit, 2022 mehr…
  • Maximilian Janetschek: Hybrid Flow Shop Scheduling with Integrated Maintenance Planning - A Battery Cell Case Study. Masterarbeit, 2022 mehr…
  • Philipp Hohmann: The Split Delivery Vehicle Routing Problem with Truck Platooning. Masterarbeit, 2022 mehr…
  • Jonas Grundler: Assembly Line Balancing with high Product Diversity and Process Variance. Masterarbeit, 2022 mehr…
  • Hashmatullah Sadid: Waiting time estimation using spatio-temporal graph neural network. Masterarbeit, 2022 mehr…
  • Isilsu Diedem Sahin: Development of a Decision-Making Mechanism for Revenue Management with Customer Order Behavior and Forecast Accuracy in the Semiconductor Industry. Masterarbeit, 2021 mehr…
  • Marc Kaufeld: The Vehicle Routing Problem With Truck Platooning. Masterarbeit, 2021 mehr…
  • Leopold Demleitner: Controlling Autonoumous Mobility-on-Demand Using a Deep Actor-Critic Algorithm: Approaches to Solve the Multi-Agent Setting. Masterarbeit, 2021 mehr…
  • Maximilian Jaenichen: Supervised Machine Learning for Disruption Evaluation in End-to-End Semiconductor Supply Chains. Masterarbeit, 2021 mehr…
  • Paul Stadler: A Large Neighborhood Search Algorithm for the Multi-Trip Vehicle Routing Problem with Modular Multi-Compartment Vehicles. Masterarbeit, 2020 mehr…
  • Daniel Nientiedt: An Adaptive Large Neighborhood Search for Multidrone Delivery with Battery swapping at Mobile Platforms. Masterarbeit, 2020 mehr…
  • Timothy Hönig: An Iterative Filtering Algorithm to Solve a Heterogeneous Locationrouting Problem for a Micro-Hub Cargo Bike Network. Masterarbeit, 2020 mehr…
  • Christina Liepold: Production as a Service: On the Impact of Partial Production Capacity Sharing. Masterarbeit, 2020 mehr…
  • Jose Pastor: Production schedule optimization of an automotive hot stamp line under uncertainty. Masterarbeit, 2020 mehr…
  • Niklas Herzel: Solving Hub Network Design Problems. Masterarbeit, 2020 mehr…
  • Shilp Patel: Supply Chain Processes for Smart Textile - Semiconductors and Textile - Within the Scope of Genus Tex with Measures to Reduce Bullwhip Effect. Masterarbeit, 2020 mehr…
  • Sarah Laamimach: Autonomous Unmanned Ground Vehicles for Urban Logistics - Integration with Public Transportation. Masterarbeit, 2019 mehr…
  • Robert zur Bonsen: Fair Matchings for the Taxi Sharing Problem. Masterarbeit, 2019 mehr…
  • Lorenz Hansbauer: Measuring and Counteracting the Bullwhip Effect with Big Data and Artificial Intelligence. Masterarbeit, 2019 mehr…