Master in Logistics and Supply Chain Management

Master Thesis - Industry partnership

The MIT – Luxembourg Logistics & Supply Chain Management master programme (LSCM) executes master thesis research/improvement projects with industry partners. A team of two students supervised by a professor and an industry supervisor scope a project to improve supply chain and logistics in practice with the latest theory.

How does it work?

Companies can propose business problems as a foundation for student thesis work. Thesis projects that are undertaken by students are completed on the campus of the University of Luxembourg within a nine-month window. Each project is executed by a small team of students (typically 2) in collaboration with the industry partner and guided by a professor. Students will have regular meetings at the sponsor companies to discuss scoping, progress and results. These meetings expose them to corporate and business life in the region (and sometimes beyond) and build their professional network.

Students make final presentations of their work on the project and submit a written thesis. Participating LCL partners are able to hear about thesis projects being done with other partner companies, giving them broad exposure to current issues in logistics and supply chain management.

The thesis, the presentation, and other materials are available to help partners communicate the students’ findings within their organisations. On both sides, it is a great opportunity to learn, grow… and produce results!

Master thesis projects can revolve around a wide variety of topics including

  • Redesign of operational processes and assessment of as-is operations
  • Creation of advanced forecasting modules with analytics and data science
  • Optimization of supply chain decisions such as inventory, routing and production.

 

LSCM awarded team for master thesis at IAP 2018

 

Benefits of the master thesis partnership

A key benefit to partner companies is having bright young minds tackle their business problems — under the guidance of an LCL professor — with access to the latest developments in supply chain theory and practice. It is an opportunity to get an important project completed and documented in less than an academic year.

But beyond that, thesis partner companies enjoy additional benefits:

  • Early and deep exposure to students for recruiting,
  • Networking with faculty, researchers, and other companies,
  • A way to energise their staff by teaming up with bright, enthusiastic LSCM graduate students,
  • A low risk, low-cost, quick-turnaround study focused on a company problem.

 

Examples of recent master thesis topics

 

Customer profitability analysis in transportation networks

A freight carrier provides capital-intensive capacity which is to be filled by shipments. Perishable capacity availability, high capital costs and low marginal costs for adding a new shipment make the allocation of this constrained capacity an important lever of success. This project provides a holistic evaluation of customer profitability by combining logistics and game theoretical models.

 

Freight carrier customer profitability

 

Reduction of CO2 emissions in supply chain networks by optimisation

Transportation contributes around 27% of CO2 emissions in Europe. In an effort to reduce these emissions, this project optimises distribution of goods in a global supply chain while explicitly penalising the emission of CO2. Analysis shows that the carbon footprint of the supply chain can be reduced by 9% even when profitability is affected by less than 0.14%.

 

sustainable & profitable

 

Customer-support pricing model

Traditional customer-support models are being challenged by emerging innovations and new technologies. Yet, several industries still rely heavily on classic third party call centres. The project seeks to break the mold by developing contracts that incentivise the third party call centres to embrace innovation while promoting alternative solutions such as freelancing customer support.

 

How to optimise a call centre

Predictive model for truck availability

Considering the increasingly competitive nature of industries today, early knowledge on expected truck availability is crucial for companies to ensure delivery service level at a reasonable cost. The goal of the thesis was to develop a prediction model for transport price for the French market and to highlight the power of the approach. The knowledge on the identified features for sound predictions provides a competitive advantage to the sponsor company when integrated into the mid-term decision making.

 

Trucks on highway

If you are interested in sponsoring a project, please contact our team.

 

Interaction with the MIT as next major pillar of the programme 

Read more about how student-industry interconnection transforms the fabric of supply chain, an article of Prof. Yossi Sheffi, Director of MIT Center for Transportation and Logistics.