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Enhancing Circular Economy Platform Design with Artificial Intelligence-Based Functionalities

  • Marco Formentini*
  • , Janpriy Sharma
  • , Nicola Mezzetti
  • , Alfredo Apicella
  • *Corresponding author for this work
  • University of Trento
  • Téchnéos s.r.l.

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

Abstract

This research is intended to explore the design of a platform based on circular economy principles, and the integration of specific AI-powered functionalities to enhance its functioning and performance. It focuses on the designing perspective, detailing the architecture of the proposed platform in terms of key activities, stakeholders’ concerns, efficient business models, and integration of AI to drive sustainability outcomes. The outcomes of the presented work demonstrate the potential of AI to execute sustainable transformations and contribute to securing sustainable business practices. Furthermore, it details the role of AI and digitalization initiatives in transitioning from linear to circular business models, by detailing the architecture of the proposed platform.

Original languageEnglish
Title of host publicationAdvances In Production Management Systems. Cyber-physical-human Production Systems: Human-ai Collaboration And Beyond, Apms 2025, Pt V
Subtitle of host publicationHuman-AI Collaboration and Beyond - 44th IFIP WG 5.7 International Conference, APMS 2025, Proceedings
EditorsHajime Mizuyama, Eiji Morinaga, Toshiya Kaihara, Tomomi Nonaka, Gregor von Cieminski, David Romero
PublisherSpringer Science+Business Media
Pages121-135
Number of pages15
ISBN (Print)9783032035455
DOIs
Publication statusPublished - 2026
Event44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025 - Kamakura, Japan
Duration: 31 Aug 20254 Sept 2025

Publication series

SeriesIFIP Advances in Information and Communication Technology
Volume768 IFIPAICT
ISSN1868-4238

Conference

Conference44th IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2025
Country/TerritoryJapan
CityKamakura
Period31/08/254/09/25

Bibliographical note

Publisher Copyright:
© IFIP International Federation for Information Processing 2026.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

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