Facts and figures

University of Applied Sciences:

Jönköping University School of Engineering

Partner companies:

Annell Ljus och Form AB, Granlund Sweden AB, Informationsbyggarna AB, Videntes Ledning och Kommunikation AB

Project duration: 2025-2026

Area of strength: In:sure, HCIAI

Research team:

Rahel Kebede, Project Manager

Johannes Oetsch

Ulf Seigerroth

David Eriksson

 

 

Optimizing End-of-Life management in construction through AI

 

The DPP-AIDE project (Digital product Passports and AI-driven decision support system for product end-of-life management to enable the circular economy), develops Digital Product Passports (DPPs) integrated with an AI-driven decision support system to optimize the End-of-Life (EoL) management of products in the construction sector, promoting circular economy practices and reducing environmental impact.

The DPP-AIDE project aims to improve EoL management for construction products. It integrates ontology-based DPPs with an AI-driven decision support system to enable stakeholders to make informed decisions about product reuse, recycling, and remanufacturing. This approach supports the circular economy by ensuring better resource recovery and waste reduction. The project involves collaboration between researchers and industry partners Annell, Granlund, Informationsbyggarna, and Videntes. Together, they co-develop practical solutions aligned with upcoming EU regulations on DPPs. Additionally, the project also contributes to education by integrating its findings into academic courses and thesis supervision, equipping future professionals with knowledge on sustainable technologies and AI-driven solutions for circular economy practices.

Relevance of the project

The DPP-AIDE project addresses the urgent need for sustainable EoL management in the construction sector, a major contributor to global resource consumption and waste. By developing AI-supported DPPs, the project enables structured data sharing across supply chains, fostering circular economy practices like reuse and recycling. It provides essential knowledge for industry stakeholders, ensuring compliance with upcoming EU regulations and advancing the digital and green transition. This project equips professionals with the tools and insights needed to make data-driven, environmentally conscious decisions.

Expected results/Impact of the project

The project will deliver a proof-of-concept AI-driven decision support system integrated with ontology-based to improve EoL management for construction products. This solution will support companies in optimizing resource recovery and reducing waste. The outcomes will also contribute to scientific advancement through publications and strengthen education. By promoting efficient EoL strategies, the project facilitates circular economy practices and supports the broader transition toward climate neutrality and sustainability within the construction and manufacturing sectors.