Title:
A Digital Twin for PI-store Automated Warehouses
A Digital Twin for PI-store Automated Warehouses
Author(s)
Rebuglio, Massimo
Ferrari, Andrea
Zenezini, Giovanni
Carlin, Antonio
Rafele, Carlo
Ferrari, Andrea
Zenezini, Giovanni
Carlin, Antonio
Rafele, Carlo
Advisor(s)
Editor(s)
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Supplementary to
Abstract
AS/RS studies focus on optimization and analytical models. However, analytical evaluation often consider deterministic and stable input parameters which are not necessarily found in real-life AS/RS systems. Cyber-physical systems such as Digital Twins represent a way to generate better predictive performance measures for a given system configuration.
Sponsor
Date Issued
2023-06
Extent
Resource Type
Text
Resource Subtype
Poster