Open topics for theses

Bachelor thesis

If you are interested please contact Darius Griebenow via darius.griebenow@tu-….

Finanzwissenschaft und Wirtschaftspolitik

Supervisor: Darius Griebenow, M.Sc.

Bachelor thesis

If you are interested please contact Darius Griebenow via darius.griebenow@tu-….

Finanzwissenschaft und Wirtschaftspolitik

Supervisor: Darius Griebenow, M.Sc.

Bachelor thesis

If you are interested please contact Darius Griebenow via darius.griebenow@tu-….

Finanzwissenschaft und Wirtschaftspolitik

Supervisor: Darius Griebenow, M.Sc.

Bachelor thesis

Motivation

Der Schienengüterverkehr gewinnt als nachhaltige Alternative zum Straßengüterverkehr immer mehr an Bedeutung. Dies lässt sich besonders am wachsenden Anteil des kombinierten Straßen- und Schienengüterverkehrs (KV), bei dem der Hauptlauf des Transportes über die Schiene abgefertigt wird, sehr gut erkennen. Tortz des Erfolgs des KV ist es wichtig, auch den Einzelwagenverkehr (EV) zu beachten, der einen signifikanten Anteil von 40% am gesamten SGV ausmacht (Bundesnetzagentur 2022). Allerdings ist aufgrund unterschiedlicher Faktoren die Entwicklung dieser Produktionsform in Europa rückläufig.

Neue Produkte und Innovationen helfen dabei, die Wettbewerbsfähigkeit des Schienengüterverkehrs zu stärken. Innovationen können z.B. die Barrieren zum Schienenzugang verringern oder die Flexibilität verbessern. Eine dieser Innovationen ist die Digitale Automatische Kupplung (DAK). Eine DAK erlaubt es, Güterwagen sowie deren Strom-, Daten- und Druckluftleitungen automatisch und ohne schwere körperliche Arbeit miteinander zu kuppeln. Dies spart vor allem Zeit und kann die Kapazität an Rangierbahnhöfen um bis zu 40 Prozent steigern (DB Cargo).

Ziele

Im Rahmen dieser Bachelorarbeit soll eine Literaturrecherche zum Thema DAK durchgeführt werden. Ziel ist es, eine strukturierte Übersicht über bestehende Literatur und den Stand der Forschung zu möglichen und erwarteten Effekten der DAK auf den Einzelwagenverkehr zu erstellen. Dabei soll besonderes Augenmerk auf die Disposition bzw. die Umlaufzeit der Güterwagen gelegt werden, die durch die wesentlich schnellere Rangiervorgänge deutlich verkürzt werden kann. Es sollen jedoch auch auf mögliche Risiken und Nachteile eingegangen werden, wie bspw. Schadquoten und Wartungen, die hinwieder zeitintensiv sein können. Dazu kann eine SWOT-Analyse durchgeführt werden.

Literatur

• BMDV. Digitale Automatische Kupplung im Schienengüterverkehr. https://www.dac4.eu/
• DB Cargo AG. Die Digitale Automatische Kupplung DAK. https://www.dbcargo.com/rail-de-de/gruen-und-innovativ/dbcargo-lab/digitale-automatische-kupplung
• Stuhr, H., Schneider, P., Karch, S. (2023). Schienengüterverkehr. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-38753-2

Rahmenbedingungen

Bei Interesse an der Abschlussarbeit schicken Sie bitte einen aktuellen Leistungsspiegel anAylin Altun. In einem persönlichen Gespräch können die Modalitäten und der Fokus der Arbeit entsprechend der persönlichen Präferenzen besprochen werden.

Unternehmensführung und Logistik

Supervisor: Aylin Altun, M.Sc.

Bachelor thesis

Produktion und Supply Chain Management

Supervisor: Prof. Dr. Christoph Glock

Announcement as PDF

Bachelor thesis, Master thesis, Studienarbeit

Marketing und Personalmanagement

Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M.Sc. Diana Cervera

Announcement as PDF

Bachelor thesis, Master thesis, Studienarbeit

Marketing und Personalmanagement

Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M.Sc. Diana Cervera

Announcement as PDF

Master thesis

Background

An organization's ability to use data effectively is increasingly becoming a critical competitive factor. Despite the availability of advanced data collection and analysis tools, implementing a data-driven culture, especially on the shop floor, remains a significant challenge for many organizations. The Döhler Group, a leading global supplier of natural ingredients, technologies and integrated solutions for the food and beverage industry, is striving for cultural change to promote digitalization on the shop floor. In cooperation with the Institute for Technology and Innovation Management, a thesis is offered that is dedicated to this challenge.

Problem definition

Despite a clear understanding of the value of data in decision-making, there are significant barriers to implementing a data-driven culture at an operational level, particularly on the shop floor. These include a lack of acceptance among employees, limited skills in handling data and emotion-based decision-making that leaves little room for data-driven approaches.

Objective

The aim of this thesis is to gain an in-depth insight into success factors in the design and implementation of a successful of a successful campaign that drives a cultural shift towards data-driven decision making on the shop floor. This includes the identification of key factors that can help or hinder this change, as well as the development and evaluation of strategies and tools that support this process.

If you are interested in this thesis please write an email with your CV and transcript of records to Christian Tschiedel.

Technologie- und Innovationsmanagement

Master thesis

Are you fascinated by the evolving dynamics between humans and artificial intelligence (AI) in the field of helping? Do you have a strong interest in experimental design and data analysis? If so, you are invited on an innovative journey to design and conduct an experiment that explores the complexity of an intelligent help system that guides human decisions based on help from AI.

In this thesis opportunity, you'll explore the frontiers of human-AI interaction by designing an experiment to understand how people respond to help when it's either self-invoked or AI-invoked. Building on existing research that highlights the nuanced responses to different invocation of help, your task will be to design a sophisticated system that intelligently guides humans to make decisions that the AI considers optimal.

If you are interested in designing and conducting an experiment that bridges the gap between human decision-making and AI help, you are invite to take advantage of this opportunity and join this research project.

Information Systems & E-Services

Supervisor: Marc Goutier , M.Sc.

Announcement as PDF

Master thesis

Gründungsmanagement

Announcement as PDF

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Anna Maria Schätzle, M.Sc.

Bachelor thesis, Master thesis, Studienarbeit, Master thesis (15 CP), Master thesis (30 CP)

Technologie- und Innovationsmanagement

Bachelor thesis, Master thesis, Studienarbeit

Marketing und Personalmanagement

Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M. Sc. Sven Schultze

Announcement as PDF

Bachelor thesis, Master thesis, Studienarbeit

Marketing und Personalmanagement

Supervisors: Prof. Dr. Dr. Ruth Stock-Homburg, M.Sc. Lea Heitlinger

Announcement as PDF

Bachelor thesis, Master thesis, Master thesis (30 CP)

Wirtschaftsinformatik | Software & Digital Business

Supervisors: Dr. Timo Koppe, Prof. Dr. Peter Buxmann

Announcement as PDF

Master thesis

The aim of the thesis is to understand the concept of Benders Decomposition and to apply it to the delivery of customer goods on the last mile, making use of the concept “vans and robots”. Hereby, the work of Alfandari et al. (2022) sould be understood and slightly extended.

Literature: Alfandari, L.; Ljubić, I.; da Silva, M.D.M. (2022): A tailored Benders decomposition approach for last-mile delivery with autonomous robots. European Journal of Operational Research, 299(2), 510-525.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis

The Traveling Salesman Problem (TSP) as well as the Branch-and-Bound procedure (B&B) are both classics in Operations Research, tackled in many courses at different universities. The goal of this thesis is to develop a demonstrator which applies B&B to the TSP, using some simple bounds and branching schemes. The algorithm, hereby, needs to be visualized in a suitable manner, such that it can be used for educational purposes. The goal is to provide the demonstrator as an Open Educational Resource, ultimately, such that the outcome of the thesis can be used freely in any Operations Research course.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis, Master thesis

The steady growth of the e-commerce industry, especially fuled by the pandemic, puts increased pressure on various warehouse operations. One potential approach to increase order picking efficiency is to reduce picker walking distances. The unique feature in mixed shelves storage warehouses is that items to be picked can be located in multiple storage positions in the warehouse. This results in a multi-layered optimization problem: Suitable positions must be selected as well as the shortest route between them has to be found. The goal of this thesis is to develop a heuristic solution for the picker routing problem in mixed shelves storage warehouses, to implement it and to test it against existing methods.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Constantin Wildt, M.Sc.

Bachelor thesis

This study will examine a number of regression models for optimizing warehouse picking routing. Regression models including linear regression, multiple regression, and logistic regression will be compared and analyzed. This study will also identify factors affecting regression model accuracy in a warehouse, factors such as distance, time, and item location and so on. The results of this study will provide insights into the most effective regression models for optimizing warehouse picking routing.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Setareh Behzadi, M.Sc.

Bachelor thesis

This topic would involve discussion about several machine learning methods such as regression analysis, decision trees, neural networks and random forests methods. The focus would be on describing property of models and identifying which data would be used to train the models in warehouse.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Setareh Behzadi, M.Sc.

Bachelor thesis

The purpose of this literature review is to provide an overview of machine/reinforcement learning methods that can be used to optimize warehouse processes. Various types of machine/reinforcement learning algorithms will be explored in this review, including those used for inventory management, item placement, and delivery. The challenges and limitations of using machine/reinforcement learning to optimize warehouses will also be discussed in order to suggest future research directions.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Setareh Behzadi, M.Sc.

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Master thesis, Master thesis (30 CP)

Your task is to replicate the coding of an existing agent-based model using the platform Repast Simphony, or to code your model of choice using the platform Repast Simphony and analyse it. For the latter option, you may choose a textbook model you learned about during your studies, or a topic from another area of interest.

If you are interested please contact Michael Neugart via michael.neugart@tu-….

Finanzwissenschaft und Wirtschaftspolitik

Supervisor: Prof. Dr. Michael Neugart

Master thesis, Master thesis (30 CP)

Your task is to replicate an empirical research paper with the data used in the original publication and add further robustness analyses, or to replicate the research paper using similar data, e.g. from another country.

Guide for replication studies (opens in new tab)

If you are interested please contact Darius Griebenow via darius.griebenow@tu-… or Michael Neugart via michael.neugart@tu-…

Supervisor: Darius Griebenow (M. Sc.) or Prof. Dr. Michael Neugart

Finanzwissenschaft und Wirtschaftspolitik

Bachelor thesis

Decentralised acting cleaning robots usually operate on a static rule set. The aim of this work is to simulate different rule sets in different environments and to identify reasonable rules. Knowledge of implementation or the willingness to learn is a requirement for this.

Interested in this topic? Please use the application form on our website!

Management Science / Operations Research

Supervisor: Prof. Dr. Felix Weidinger

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Dr.-Ing. Melanie Reuter-Oppermann

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Mariska Fecho, M.Sc.

Announcement as PDF

Bachelor thesis, Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Dr.-Ing. Melanie Reuter-Oppermann

Announcement as PDF

Master thesis

Wirtschaftsinformatik | Software & Digital Business

Supervisors: Dr. Amina Wagner, Anne Zöll, M.Sc.

Announcement as PDF

Bachelor thesis, Master thesis (15 CP)

Wirtschaftsinformatik | Software & Digital Business

Supervisor: Dr. Nihal Wahl

Master thesis

Bachelor thesis, Master thesis

Supervisor: Prof. Dr. Simon Emde

Bachelor thesis, Studienarbeit

Zivilrecht, Gewerblicher Rechtsschutz und Urheberrecht sowie Recht der Informationsgesellschaft

Supervisors: Dr. jur. Anna-Lena Fehr, geb. Wirz, RA Matthias Prinz

Bachelor thesis, Studienarbeit

Supervisors: Dr. jur. Anna-Lena Fehr, geb. Wirz, RA Matthias Prinz

Bachelor thesis, Master thesis, Studienarbeit

Supervisor: Dipl.-Phys. Tobias Bier

Bachelor thesis, Master thesis, Studienarbeit, Diploma thesis

Supervisor: Prof. Dr. Peter Buxmann

Announcement as PDF