文章基本信息

标题：A Roadmap towards an Automated Warehouse Digital Twin: current implementations and future developments
本地全文：下载
作者：Andrea Ferrari ; Giovanni Zenezini ; Carlo Rafele 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：10
页码：1899-1905
DOI：10.1016/j.ifacol.2022.09.676
语种：English
出版社：Elsevier
摘要：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.
关键词：Digital Twin;Agent-Based Simulation;Discrete Event Simulation;Hybrid Simulation;Industry 4.0;Automated Warehouse