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Authors: L. Ragazzini 1 ; N. Saporiti 2 ; E. Negri 1 ; T. Rossi 2 ; M. Macchi 1 and G. L. Pirovano 2

Affiliations: 1 Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milano, Italy ; 2 School of Industrial Engineering, Carlo Cattaneo – LIUC University, Castellanza, Italy

Keyword(s): Digital Twin, Industry 4.0, Assembly Line Balancing.

Abstract: The emergence of technologies linked to the Industry 4.0 paradigm is increasingly influencing the design and management of production systems. However, applications related to assembly lines are scarcely explored in the literature. Hence, in this paper, a Digital Twin-based approach to real-time assembly line balancing problem (ALBP) in the i-FAB learning factory of Università Carlo Cattaneo – LIUC is presented. The results show that the implementation of a Digital Twin (DT) can enhance the overall productivity of a manual assembly line to smooth the effects of disruptions.

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Paper citation in several formats:
Ragazzini, L. ; Saporiti, N. ; Negri, E. ; Rossi, T. ; Macchi, M. and Pirovano, G. (2021). A Digital Twin-based Approach to the Real-time Assembly Line Balancing Problem. In Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL; ISBN 978-989-758-535-7, SciTePress, pages 93-99. DOI: 10.5220/0010674500003062

@conference{in4pl21,
author={L. Ragazzini and N. Saporiti and E. Negri and T. Rossi and M. Macchi and G. L. Pirovano},
title={A Digital Twin-based Approach to the Real-time Assembly Line Balancing Problem},
booktitle={Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL},
year={2021},
pages={93-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010674500003062},
isbn={978-989-758-535-7},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL
TI - A Digital Twin-based Approach to the Real-time Assembly Line Balancing Problem
SN - 978-989-758-535-7
AU - Ragazzini, L.
AU - Saporiti, N.
AU - Negri, E.
AU - Rossi, T.
AU - Macchi, M.
AU - Pirovano, G.
PY - 2021
SP - 93
EP - 99
DO - 10.5220/0010674500003062
PB - SciTePress