{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:48:01Z","timestamp":1782809281998,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Despite intensified recycling efforts, global material consumption has more than tripled over the past five decades, while the global circularity rate has declined. This widening gap reveals that incremental improvements are insufficient and that a transition toward circular economy must be structural. This transition is constrained by fragmented data ecosystems, limited transparency among stakeholders, and conventional digital twin architectures that struggle to represent the dynamic, multi-loop nature of circular supply networks. To address these challenges, this position paper discusses a conceptual Federated Digital Twin framework that integrates federated system architectures to protect data sovereignty, intelligent agents to enable real-time negotiation and synchronization, and knowledge graphs to ensure semantic interoperability across distributed actors. The framework serves as a decision-support backbone for circular manufacturing, aiming for a coordinated management and systemic coherence of value-retention strategies and production planning for circular supply chains.<\/jats:p>","DOI":"10.7148\/2026-0287","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:46Z","timestamp":1782808606000},"page":"287-292","source":"Crossref","is-referenced-by-count":0,"title":["Federated digital twins for intelligent decision-making in circular supply networks"],"prefix":"10.7148","author":[{"given":"Burak","family":"Karaduman","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moharram","family":"Challenger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giovanni","family":"Lugaresi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T08:36:55Z","timestamp":1782808615000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0287_dtsis_ecms2026_0123.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0287","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}