We are IKEA!

At IKEA Components we develop, source, pack, and supply components in areas where it benefits IKEA and the IKEA customer. We integrate backward in the IKEA value chain to create a better everyday life for the many people. We focus on creating price advantage through business development and economy of scale and securing excellence within design, quality, availability, and sustainability.

For IKEA Components, Fasteners are an essential part of their range. In furniture, fasteners are selected based on the material (wood, metal, plastic) and assembly type of the furniture. To improve the ease of selecting a fastener during furniture development, there is a need to create a better selection tool for the stakeholders.

In this thesis, you will have the opportunity to contribute in improving the database for the fastener range at IKEA Components. The goal of this thesis is to develop a statistical tool for IKEA Components. This is done through:

• Analyze the available data and define parameters.
• Utilize a statistical approach to make predictions based on test data.
• Develop a method for a selection tool.
• Identify improvement areas.

You are probably a master or bachelor student in engineering, physics, or mathematics. Beneficial if you speak python, MATLAB or any other numerical language.

The assignment will be carried out on location in Älmhult, Sweden. The end  result should be delivered as a report along with “work” files for further use. 

If you have any questions about the recruitment process you are welcome to contact IKEA supervisor Rajaneesh Kumar Singh, [email protected].

We are looking forward to your application! Please submit both your CV and motivational letter in English by 19th of November.

We are reviewing applications as they come through so don’t wait to apply! 

To take part of the Thesis work, you must be enrolled in a thesis course provided at university level/Thesis agreement with a university in Sweden.