Thesis

Below you can see a number of thesis project suggestions that we currently have a need for. But you might have your own idea?
We design thesis projects so that they work in the best possible way for both us and you. Together, we discuss and agree on a good solution and suitable objectives.

If you have questions about the suggestions listed below, you can contact our Digital Factory Leader, Perparim Sylejmani. See contact details below.

MSc Thesis

QUALITY: Current state analysis and development of a method to secure preliminary measurements in production.
• How is our measurement preparation?
• Do we follow the corporate standard?
• Do we even follow our own standards?
• Some measure with KSM, others with calipers.

PMO – CUSTOMER SUPPORT: LLM to ensure customers easily get answers related to our product range via the website .
• Work in Azure Databricks and create an environment with correct product data (catalog) and build an LLM.

PRODUCT DEVEOPMENT: Reuse and recycling of fiber optic cables in Sweden.
• Investigate possibilities for reuse, recycling, and end-of-life management of fiber optic cables in a Swedish context.
• Focus on technical, environmental, preparedness, and legal aspects.

DIGITAL: Build a master database in Azure Databricks.
• In Azure Databricks environment, build a master database handling master data for design, product, process, and finance.
• Ensure interface with ERP and MES.

SUPPLY/ENGINEERING: Value stream analysis including KanBAN and SMED methodology.
• Conduct a value stream analysis including KanBAN and SMED.
• Deliver a standard work method to ensure future implementation.

PRODUCTION AND SUPPLY: Capacity and flow optimization of a new product department.
• Conduct a current state analysis and propose improvements.

DIGITAL: Create database in Azure & reporting database in Power BI.
• Build a database in Azure with data from multiple systems.
• Develop a reporting database in Power BI based on organizational needs.

RESEARCH AND DIGITAL:  Time Series Similarity Search for Batch Process Manufacturing.
• Explore and evaluate time series similarity search techniques in batch manufacturing.
• Assess feasibility for process enhancement, quality control, and predictive maintenance.