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

(No documents in this view)

Completed Theses

  • Po Sze Cheng: Enhancing Product Demand Forecasting Accuracy through Clustering. Master thesis, 2024 more…
  • Aris Dressino: Large Language Models for Information Retrieval and Management in Industrial Procurement. Master thesis, 2024 more…
  • Huang, Yi-Hsi Lawrence: A Comparative Study of Open Set Classification Approaches For Analyzing Customer Order Behavior in the Semiconductor Industry. Master thesis, 2023 more…
  • Meng-Hsuan Lin: A Comparative Study of Time Series Forecast for Complaint Management in the Semiconductor Industry. Master thesis, 2023 more…
  • 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. Master thesis, 2023 more…
  • Vsevolod Kompantsev: Dynamic spend distribution across several advertisement exchanges over multiple time slots with constrained budgets. Master thesis, 2023 more…
  • Mudit Srivastava: Improving Demand Forecasting Measures in Semiconductor Supply Chains through Sophisticated Machine Learning Models and Customer Order Behaviors. Master thesis, 2023 more…
  • Faria Haider: Market optimal distribution of energy for aggregated portfolios of electric vehicles in the context of bi-directional vehicle-to-grid integration. Master thesis, 2023 more…
  • Robin Maximilian Köhler: Prediction of Charging Point Utilization Using a Machine Learning-Based Surrogate Model of a Multi-Agent Simulation. Master thesis, 2023 more…
  • Lin, Bo-Hong: Surrogate-based traffic flow prediction for simulation environments. Master thesis, 2023 more…
  • Lukas Scheurich: Two-Stage Stochastic Program for the Scheduling and Location Problem in a Flexible Layout. Master thesis, 2023 more…
  • Ecem Ataç: Optimal Auction Design for Promoting Sustainable Practices in Industrial Procurement. Master thesis, 2023 more…
  • Franz Felix Heim: A neural network enriched framework for conditional two-stage stochastic optimization problems. Master thesis, 2023 more…
  • Alexander David Koch: Deep reinforcement learning for last-mile crowdsourced delivery. Master thesis, 2023 more…
  • Heiko Hoppe: Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems. Master thesis, 2023 more…
  • Jochen Madler: Optimization Techniques for Home Energy Management Systems in Novel Power Markets: A Comparative Analysis. Master thesis, 2023 more…
  • Julian Schmid: Optimization of Demand Adaptive Systems at the Operational Level. Master thesis, 2023 more…
  • Christopher Dudel: Selecting Operators in LNS with Reinforcement Learning. Master thesis, 2023 more…
  • n.A.: Staggered Routing In Autonomous Mobility-on-Demand. Master thesis, 2023 more…
  • Jee Hyung Kim: Decision Support System Based on State-of-the-Art Deep Reinforcement Learning Models for Vendor Managed Inventory. Master thesis, 2022 more…
  • Claire Schwartz: Deriving Auction Designs from Performance Pricing Value Graphs in Industrial Procurement. Master thesis, 2022 more…
  • Philipp Merz: Optimizing multimodal public transportation systems. Master thesis, 2022 more…
  • Finn Kern: A flexible sustainable urban same-day last-mile multi-pickup and single-delivery system. Master thesis, 2022 more…
  • Kim-Kira Scheder: Decarbonization of the BMW Group: Develeoping a Strategy for the Location-Dependent Replacement of Natural Gas Using Multi Objective Optimization. Master thesis, 2022 more…
  • Lena Fiedler: Electric Autonomous Bus Fleet Design with Operational Constraints. Master thesis, 2022 more…
  • Maximilian Janetschek: Hybrid Flow Shop Scheduling with Integrated Maintenance Planning - A Battery Cell Case Study. Master thesis, 2022 more…
  • Philipp Hohmann: The Split Delivery Vehicle Routing Problem with Truck Platooning. Master thesis, 2022 more…
  • Jonas Grundler: Assembly Line Balancing with high Product Diversity and Process Variance. Master thesis, 2022 more…
  • Hashmatullah Sadid: Waiting time estimation using spatio-temporal graph neural network. Master thesis, 2022 more…
  • Isilsu Diedem Sahin: Development of a Decision-Making Mechanism for Revenue Management with Customer Order Behavior and Forecast Accuracy in the Semiconductor Industry. Master thesis, 2021 more…
  • Marc Kaufeld: The Vehicle Routing Problem With Truck Platooning. Master thesis, 2021 more…
  • Leopold Demleitner: Controlling Autonoumous Mobility-on-Demand Using a Deep Actor-Critic Algorithm: Approaches to Solve the Multi-Agent Setting. Master thesis, 2021 more…
  • Maximilian Jaenichen: Supervised Machine Learning for Disruption Evaluation in End-to-End Semiconductor Supply Chains. Master thesis, 2021 more…
  • Paul Stadler: A Large Neighborhood Search Algorithm for the Multi-Trip Vehicle Routing Problem with Modular Multi-Compartment Vehicles. Master thesis, 2020 more…
  • Daniel Nientiedt: An Adaptive Large Neighborhood Search for Multidrone Delivery with Battery swapping at Mobile Platforms. Master thesis, 2020 more…
  • Timothy Hönig: An Iterative Filtering Algorithm to Solve a Heterogeneous Locationrouting Problem for a Micro-Hub Cargo Bike Network. Master thesis, 2020 more…
  • Christina Liepold: Production as a Service: On the Impact of Partial Production Capacity Sharing. Master thesis, 2020 more…
  • Jose Pastor: Production schedule optimization of an automotive hot stamp line under uncertainty. Master thesis, 2020 more…
  • Niklas Herzel: Solving Hub Network Design Problems. Master thesis, 2020 more…
  • Shilp Patel: Supply Chain Processes for Smart Textile - Semiconductors and Textile - Within the Scope of Genus Tex with Measures to Reduce Bullwhip Effect. Master thesis, 2020 more…
  • Sarah Laamimach: Autonomous Unmanned Ground Vehicles for Urban Logistics - Integration with Public Transportation. Master thesis, 2019 more…
  • Robert zur Bonsen: Fair Matchings for the Taxi Sharing Problem. Master thesis, 2019 more…
  • Lorenz Hansbauer: Measuring and Counteracting the Bullwhip Effect with Big Data and Artificial Intelligence. Master thesis, 2019 more…