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A conceptual data model promoting data-driven circular manufacturing

Author

Listed:
  • Federica Acerbi

    (Politecnico Di Milano)

  • Claudio Sassanelli

    (Politecnico di Bari)

  • Marco Taisch

    (Politecnico Di Milano)

Abstract

Circular economy (CE) paradigm fosters manufacturing companies’ sustainability taking place through different circular manufacturing (CM) strategies. These strategies allow companies to be internally committed to embrace circular values and to be externally aligned with several stakeholders not necessarily belonging to the same supply chain. Nevertheless, these CM strategies adoption is limited by heterogeneous barriers, among which the management and sharing of data and information remain the most relevant ones, bounding the decision-making process of manufacturers in CM. Moreover, the extant literature unveiled the need to structure data and information in a reference model to make them usable by manufacturers. Therefore, the goal of the present work is to propose a reference model by developing a conceptual data model to standardise and structure the necessary data in CM to support manufacturers’ decision-making process. Through this model, data and information to be gathered by manufacturers are elucidated, providing an overview of which ones should be managed internally, and shared externally, clarifying the presence of their mutual interdependencies. The model was conceptualised and developed relying on the extant literature and improved and validated through academic and industrial experts’ interviews.

Suggested Citation

  • Federica Acerbi & Claudio Sassanelli & Marco Taisch, 2022. "A conceptual data model promoting data-driven circular manufacturing," Operations Management Research, Springer, vol. 15(3), pages 838-857, December.
    • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00271-x
    DOI: 10.1007/s12063-022-00271-x
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    References listed on IDEAS

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    1. Adriana Neligan, 2018. "Digitalisation as Enabler Towards a Sustainable Circular Economy in Germany," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 53(2), pages 101-106, March.
    2. Federica Acerbi & Claudio Sassanelli & Sergio Terzi & Marco Taisch, 2021. "A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
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    7. Paolo Rosa & Claudio Sassanelli & Andrea Urbinati & Davide Chiaroni & Sergio Terzi, 2020. "Assessing relations between Circular Economy and Industry 4.0: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1662-1687, March.
    8. Kannan Govindan & Mia Hasanagic, 2018. "A systematic review on drivers, barriers, and practices towards circular economy: a supply chain perspective," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 278-311, January.
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    Cited by:

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    2. Salman Alfarisi & Yuya Mitake & Yusuke Tsutsui & Hanfei Wang & Yoshiki Shimomura, 2023. "Nurture: A Novel Approach to PSS-Rebound Effect Identification," Sustainability, MDPI, vol. 15(9), pages 1-25, April.
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    4. Tao Chu & Jingai Ma & Yongguang Zhong & Hao Sun & Weiqiang Jia, 2024. "Shared recycling model for waste electrical and electronic equipment based on the targeted responsibility system in the context of China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-26, December.
    5. Arijit Bhattacharya & Shefali Srivastava & Abhijit Majumdar, 2024. "Circular supply chains in manufacturing—Quo vadis? Accomplishments, challenges and future opportunities," Business Strategy and the Environment, Wiley Blackwell, vol. 33(5), pages 4397-4423, July.

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