Bachelor and Master Theses

Prescriptive analytics has emerged as a critical discipline for transforming data into actionable recommendations. Unlike descriptive analytics, which explains what has happened, and predictive analytics, which predicts what may happen, prescriptive analytics provides suggestions indicating what should be done to optimise expected outcomes.

The aim of the thesis is to develop a prescriptive analytics solution that integrates image segmentation and contextual information for continuous monitoring and optimisation of sustainable undercarriage inspections. By leveraging visual data, incorporating object segmentation and measurement models with contextual information such as machine operating location, years of service, and previous maintenance history, the proposed framework will enable real-time decision-making for sustainable operations, resource efficiency, and environmental impact reduction.

Tasks include in the thesis

1. Integrate historical dataset and domain knowledge.
2. Combine object segmentation with contextual information
3. Develop algorithms that can provide actionable recommendations
4. Evaluate the framework in real-world domains

Volvo Construction Equipment (VCE), a division of Volvo Group, is one of the world's largest manufacturers of construction equipment such as wheel loaders, haulers, excavators and compact machines.

At VCE, we are at the forefront of innovation in the construction equipment industry. We focus on data-driven decision-making across the entire business spectrum. With numerous ongoing exploratory projects, we provide a fertile ground for curious minds to delve into diverse domains and leave a lasting impact.

We seek individuals with innovative mindsets who can provide unexpected solutions and think outside the box. By joining us, you will contribute to research and findings that will help shape the direction of our business. Together, we will explore untapped potential, paving the way for a more efficient, intelligent, and sustainable future.