Research Output
Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry
  This paper presents a complete digital twin framework with the purpose to aid manufacturing ergonomics and control operations in distillery industry. The focus is on the design of a digital twin framework that manages the material flow in the real system based on ergonomics and resource efficient parameters of the manual operations. Preliminary experiments are done by applying the digital twin framework on a lab-scale case study and demonstrate the applicability of the proposed approach.

  • Date:

    09 October 2024

  • Publication Status:

    Published

  • Publisher

    Elsevier

  • DOI:

    10.1016/j.procir.2024.08.280

  • ISSN:

    2212-8271

  • Funders:

    Edinburgh Napier Funded

Citation

Marzano, A., & Caggiano, A. (2024, July). Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry. Presented at 18th CIRP ICME '24 Conference, Ischia, Italy

Authors

Keywords

Digital twins; ergonomics; design

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