Scania • Full time • Södertälje
Scania • Full time • Södertälje
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Background:
The expanding demand for batteries, driven by the surge in electric vehicles and renewable energy solutions, necessitates a thorough examination of maintenance practices within battery factories. Scania, an industrial leader automotive industry, has recently built their own battery factory. This master's thesis proposal aims to conduct a state-of-the-art literature study, with a particular focus on data-driven decision-making, the relationship between maintenance and quality, and the integral role of humans in the loop. The primary goal is to identify potential use cases for in-depth investigation, offering insights into the optimization of maintenance processes and the symbiotic connection between data, product quality, and human expertise within Scania.
Assignment:
The objective of this master thesis is to conduct an in-depth literature review and case study at Scania's battery factory, to understand the current state-of-the-art in maintenance, particularly in relation to data-driven decision-making. The student(s) also explore the interaction between maintenance processes and product quality, uncovering synergies and challenges, and the critical role of human expertise in maintenance decisions. Expected outcomes include:
- A comprehensive understanding of the state-of-the-art in maintenance practices within battery manufacturing, focusing on data-driven decision-making, quality relations, and human involvement
- Identification of key factors influencing the relationship between maintenance and product quality
- Selection of specific use cases for in-depth study, providing a foundation for further research and practical implementation
What We Offer:
- Direct collaboration with a leading company in the automotive sector.
- Access to real production environments.
- Mentorship from experienced professionals.
- Opportunity to contribute to cutting-edge research with real-world industrial applications.
Education and time plan:
Education: Master’s program in production engineering, Industrial or Automation Engineering, Data Science.
Qualifications: Understanding of maintenance practices and data-analysis
Number of students: 1
Start date: January 2025
Estimated time needed: 20 weeks
Contact persons and supervisors:
Mariano Coll,
Maheswaran Gopalakrishnan,
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.
Thesis Worker
Nothing is more important than our people. With a company culture that’s based on shared and inclusive core values. We have a supportive community, where everyone has opportunities to grow and succeed.