Decision Support Based on Digital Twin Simulation: A case study in Distillery Industry

Marzano, Adelaide; Caggiano, Alessandra

Abstract

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.

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

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 18th CIRP ICME '24 Conference
• Start Date: Jul 10, 2024
• End Date: Jul 12, 2024
• Acceptance Date: Aug 30, 2024
• Online Publication Date: Oct 9, 2024
• Publication Date: Oct 9, 2024
• Deposit Date: Sep 2, 2024
• Publicly Available Date: Oct 9, 2024
• Journal: Procedia CIRP
• Print ISSN: 2212-8271
• Electronic ISSN: 2212-8271
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 126
• Pages: 893-897
• Series ISSN: 2212-8271
• DOI: https://doi.org/10.1016/j.procir.2024.08.280
• Keywords: Digital twins; ergonomics; design
• Publisher URL: https://www.sciencedirect.com/journal/procedia-cirp
• Related Public URLs: https://cirpicme.org/