Automation and digitization increase the effectiveness and efficiency of logistics processes. In warehousing, Automated Storage and Retrieval Systems (AS/RS) are largely adopted due to their considerable advantages over traditional warehousing, namely high space utilization, shorter cycle times and improved inventory control. To further enhance such advantages, warehouse operations can be digitized via a Digital Twin (DT) which retrieves data from the real-world industrial process, mimics its behaviour and feeds specific inputs back to the real-world process, after elaboration from a simulation-based digital model. This work presents a DT proposal for a real-world AS/RS system, highlighting its current implementations together with its future developments.

A Roadmap towards an Automated Warehouse Digital Twin: current implementations and future developments / Ferrari, A.; Zenezini, G.; Rafele, C.; Carlin, A.. - 55:(2022), pp. 1899-1905. (Intervento presentato al convegno 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 tenutosi a Nantes nel 22-24 June 2022) [10.1016/j.ifacol.2022.09.676].

A Roadmap towards an Automated Warehouse Digital Twin: current implementations and future developments

Ferrari A.;Zenezini G.;Rafele C.;Carlin A.
2022

Abstract

Automation and digitization increase the effectiveness and efficiency of logistics processes. In warehousing, Automated Storage and Retrieval Systems (AS/RS) are largely adopted due to their considerable advantages over traditional warehousing, namely high space utilization, shorter cycle times and improved inventory control. To further enhance such advantages, warehouse operations can be digitized via a Digital Twin (DT) which retrieves data from the real-world industrial process, mimics its behaviour and feeds specific inputs back to the real-world process, after elaboration from a simulation-based digital model. This work presents a DT proposal for a real-world AS/RS system, highlighting its current implementations together with its future developments.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2974417