AIMI: AI-driven Manufacturing Intelligence

Purpose and goal

The project aims to develop and assess an AI-based decision support system to improve operational and tactical decisions in industrial production. It builds on real, recurring decision cases and explores how advanced AI can be applied in complex production settings. The solution should be modular and scalable, and tailored for industrial and regulated environments with strict requirements for traceability, data control, and flexible technical infrastructure.

Expected effects and result

The project introduces a pull-based approach where users initiate analysis through business-related questions. AI is used as support for human decision-making through a human-in-the-loop approach with a focus on traceability and explainability. Through increased accessibility and simplified working methods, more users are expected to be able to perform significantly more and more advanced analyses and assessments of the business´s methods and processes.

Planned approach and implementation

The project will apply an iterative, application-focused approach where technical development, analysis and improvement work proceed in parallel through close collaboration between project partners. Analytical and AI functions are developed step by step based on data availability and use in real decision situations. The work is carried out in a defined production section, following a PoC-WP-Improvements model, with a plan to deliver five WPs during the project.