Thesis Worker

Are you looking for a thesis topic where you can make a real impact? We are now looking for two Master's thesis workers to join Valmet Flow Control Global Operations Development team in Vantaa, focusing on enhancing data-driven decision-making in our global manufacturing operations.

Both theses focus on utilizing real production, product, customer and quality data to better understand, predict and prevent delivery delays in complex industrial projects.

The thesis workers will have access to real-life industrial data and will work closely with operations and development experts. The topics are highly relevant for Valmet's business, and the results are expected to be used in further development of our operational practices.

Below thesis topics exact title and content are to be agreed between Valmet - Thesis student - Faculty staff thesis supervisor.

Thesis 1 - Predictive Analytics for Delivery Delays

The objective of this thesis is to develop a prediction model that estimates the risk of delivery delay already when a new customer order is received. The work focuses on identifying order, product and production parameters that have a strong correlation with delivery delays, and using these findings to build a reliable early warning model.

Typical research questions may include:Which order or product characteristics are the strongest predictors of delivery delays?

How accurate can delay predictions be using historical production data?

Key to success in this thesis is strong interest and capability in working with large datasets, combined with programming and analytical skills.

Thesis 2 - Root Cause Analysis of Production Delays

The objective of this thesis is to identify and analyze the root causes behind the most common delivery delay reasons in Valmet Flow Control operations. The focus is on identifying key input parameters and process characteristics that drive delays and proposing a data-driven management and decision-support approach to mitigate them.

Typic