Master thesis - Towards increased automation in picking

Scania is currently undergoing an exciting transformation from a traditional truck manufacturer to a provider of complete sustainable transport solutions.

Background:
The Smart Factory Lab at Scania is an experimental test environment that explores, assesses, and pilots new technologies before they are adopted in Scania’s production processes. We are looking for motivated and creative students to join our Smart Factory Lab for their master thesis. You will have the opportunity to work in a dynamic and collaborative environment, where you can test and validate new technologies, methods, and solutions in close collaboration with our internal and external stakeholders.

Assignment:
Scania aims to use automation as a tool to improve safety, quality, productivity and costs. For many years, Scania has been using traditional solutions to automatically pick and manipulate various parts in (semi-)static environments. Advanced and AI-based robotics improves robot perception and decision making capabilities, enabling automation not only in static but also in dynamic environments.
As a thesis student in the Smart Factory Lab, you will play a key role in shaping the future of automation by focusing on part picking processes across our production and logistics operations. Your main task will be to create a comprehensive overview of current (manual) picking scenarios and to evaluate their relevance for automation today as well as in the medium and long term.
To achieve this, you will collaborate closely with Scania’s production and logistics teams, visiting sites to gather detailed information on various picking scenarios (e.g., task complexity, volume, frequency, and working environment). The insights you develop will form the foundation for Scania’s automation roadmap, enabling us to strategically implement automation in our global production units.

Key Deliverables:
•    Develop a detailed overview of existing part-picking cases across Scania's production and logistics.
•    Categorise and prioritise picking scenarios based on their relevance and feasibility for automation.
•    Recommend initiatives to enable automation in the medium and long term.

Education and time plan:
Education: Master’s program in Mechanical Engineering, Automation Engineering, Logistics or similar.

Number of students: 1
Start date: January 2025
Estimated time needed: 20 weeks

Contact persons and supervisors:
David Svensson, Group Manager, david.svensson@scania.com

Application:
Your application must include a CV, personal letter and transcript of grades 

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.