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Catena-D

Reference number
Coordinator Linköpings universitet - Department of Management of Engineering
Funding from Vinnova SEK 6 000 000
Project duration October 2023 - April 2026
Status Ongoing
Venture Circular and biobased economy
Call Increased resource efficiency, industry funding to a circular economy

Purpose and goal

This project aims to validate the concept of digital threads on the circular economy (CE) context, together with artificial intelligence (AI) applied to big data systemically with a circular business model. The goal is to deliver a prototype of digital threads built upon AI applied to the CE context. Strategic guidance, based on the prototype, with a product/data lifecycle and a value chain, maintaining a systems perspective, will be delivered for implementing circular business models that close, narrow, or slow material flows in the Swedish manufacturing industry.

Expected effects and result

Foundational technical solutions will be developed for an information infrastructure that enables efficient access to needed data and information originating from huge amounts of data (to be) stored within a lifecycle stage. Thereby, various organizations will be helped to communicate and collaborate with each other for a more circular economy with regard to: 1. lifecycle material efficiency, 2. developed prerequisites for circular businesses, and 3. actor constellation to realize the solution (inter)nationally including contributions to international standards.

Planned approach and implementation

Two large manufacturing firms, Volvo Construction Equipment and Bosch Thermoteknik, own the need and provide cases that complementarily cover a wide range of a product lifecycle, from design and production to use, service, and maintenance. A small software tech firm, Addiva, will provide practical solutions. Linköping University will be the coordinator and provide scientific knowledge and solutions on a CE. Mälardalen University will contribute through their expertise in AI.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 10 November 2023

Reference number 2023-02477