Collaborative Digitalisation and the Future of Networked Production: Exploring Decentralised Technical Intelligence in Supply Chains
Year of publication
2026
Authors
Walter, Stefan
Abstract
<p>Networked production, supported by advanced logistics and supply chain processes, is crucial for companies to stay competitive and foster cooperation and integration of production resources. It replaces sequential processes with dynamic arrangements, presenting challenges like managing product variants, short life cycles, and process optimisation. Agility is vital for adapting to changes and natural disasters. Decentralised Technical Intelligence (DTI) is an approach that manages complexity and incentivises integrating new technologies in planning and manufacturing. DTI involves distributed and autonomous intelligence embedded in interconnected systems, where humans and machines collaborate to achieve common goals. Humans bring unique skills like creativity and intuition, complementing AI’s capabilities. DTI relies on a multi-agent architecture, enabling trust, interoperability, and data sharing for better decision-making and efficiency. The EU knowlEdge project exemplifies this by providing AI solutions that are distributed, secure, standardised, and collaborative, integrating cognitive technologies, data analytics, IoT and more. DTI’s human-centric design fosters a different quality of intelligence, leading to greater autonomy within multi-agent systems. To realise advanced networked production, a roadmap must be implemented, focusing on a vision, value promise, and development pathway. Europe can maintain its leadership in future networked production through this approach.</p>
Show moreOrganizations and authors
Publication type
Publication format
Article
Parent publication type
Compilation
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A3 Book section, Chapters in research booksPublication channel information
Journal/Series
Parent publication name
Conference
Publisher
Pages
130-136
ISSN
ISBN
Publication forum
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
License of the publisher’s version
CC BY
Self-archived
No
Other information
Fields of science
Electronic, automation and communications engineering, electronics
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Identified topic
[object Object]
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1007/978-3-032-06763-0_19
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes