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Driving Intelligent Manufacturing: An Application Study on Digital Twin in Factory Digitalization

Published: 09 June 2023 Publication History

Abstract

With the rapid development of digital transformation, digital twin has got rising attention from both academia and industry. Based on new generation of information technology, digital twin has built an integration of virtual and real world with the ability of interconnection and intelligent inter-operation, which has narrowed the gap between physical and digital world, becoming an important enabler for intelligent manufacturing. The paper mainly discusses the application of digital twin in manufacturing scenarios, and its role in enterprises' digital transformation through intelligent operation and maintenance, virtual debugging, anomaly diagnosis, risk prediction, decision-making assistance, intelligent production scheduling and system optimization, so as to help improve production efficiency and promote digital economy. The paper aims to provide reference for the industry in planning and building a digital twin world, and help with the world's technological evolution and industrial development.

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    ICIEAEU '23: Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications
    January 2023
    339 pages
    ISBN:9781450398527
    DOI:10.1145/3587889
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 09 June 2023

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    Author Tags

    1. digital twin
    2. industrial internet
    3. intelligent manufacturing
    4. interconnection
    5. production scheduling
    6. visualization

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