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Produkt- och produktionsutveckling


TRUSTed decision-making system for Cognitive Manufacturing

TRUSTCM aims at developing a new decision-making system based on machine learning (ML) and data analytics that can be trusted by providing meaningful explanations of the decisions made. This can be achieved either by improving the structure of the ML model or augmenting the training data with semantic explanations.



Planerat avslut


Projektansvarig vid MDH

Professor /Dekan

Daniel Sundmark

021-15 17 54


Description of the project

TRUSTCM will enable efficient support for the manufacturers and contribute to overcoming the challenges of integrating intelligent solutions into the Industry 4.0 framework. As a case study, the outcome of TRUSTCM will be applied to the Volvo Electric Site viewed as a manufacturing process and simulated in the Volvo Simulators at MDH.


This research relates to the following sustainable development goals

Industry, innovation and infrastructure. Sustainable development goal 9.

Build resilient infrastructure, promote sustainable industrialization and foster innovation.

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