The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0

被引：31
作者：
Mohsen Attaran
Sharmin Attaran
Bilge Gokhan Celik
机构：
[1] California State University,School of Business and Public Administration
[2] Bakersfield,School of Engineering Computing and Construction Management
[3] Bryant University,undefined
[4] Roger Williams University,undefined
来源：
Advances in Computational Intelligence | 2023年 / 3卷 / 3期
关键词：
Digital twins; Digital twin; Digital twin technologies; Digital shadow; Digital model; Industry 4.0; Digital twins challenges; Supply chain management; Smart logistics;
D O I：
10.1007/s43674-023-00058-y
中图分类号：
学科分类号：
摘要：
As the adoption of Industry 4.0 advances and the manufacturing process becomes increasingly digital, the Digital Twin (DT) will prove invaluable for testing and simulating new parameters and design variants. DT solutions build a 3D digital replica of the physical object allowing the managers to develop better products, detect physical issues sooner, and predict outcomes more accurately. In the past few years, Digital Twins (DTs) dramatically reduced the cost of developing new manufacturing approaches, improved efficiency, reduced waste, and minimized batch-to-batch variability. This paper aims to highlight the evolution of DTs, review its enabling technologies, identify challenges and opportunities for implementing DT in Industry 4.0, and examine its range of applications in manufacturing, including smart logistics and supply chain management. The paper also highlights some real examples of the application of DT in manufacturing.
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[21]  
Peimbert-García RE(2019)Ubiquitous knowledge empowers the smart factory: the impacts of a service-oriented digital twin on enterprises’ performance Annu Rev Control 109 197-878
[22]  
Ramírez-Moreno MA(2015)A security architecture in cyber-physical systems: security theories, analysis, simulation and application fields Int J Secur Appl 9 29-2415
[23]  
Ramírez-Mendoza RA(2021)Artificial intelligence in the digital twins: state of the art, challenges, and future research topics Dig Twin 3 1787-3576
[24]  
Lozoya-Santos JDJ(2019)Building a digital twin for additive manufacturing through the exploitation of blockchain: a case analysis of the aircraft industry Comput Ind 4 3585-544
[25]  
Chiara C(2021)A digital twin demonstrator to enable flexible manufacturing with robotics: a process supervision case study Prod Manuf Res 106 1388-16
[26]  
Elisa N(2022)Towards the development of a digital twin for a sustainable mass customization 4.0 environment: a literature review of relevant concepts Automation 6 268-19999
[27]  
Luca F(2021)Digital twins driven supply chain visibility within logistics: a new paradigm for future logistics Appl Syst Innov 81 729-4453
[28]  
Ding K(2020)Digital twin-based cyber physical production system architectural framework for personalized production Int J Adv Manuf Technol 105 3891-125
[29]  
Chan FTS(2018)Digital twin and big data towards smart manufacturing and industry 4.0: 360-degree comparison IEEE Access 173 141-undefined
[30]  
Zhang X(2019)Digital twin for machining tool condition prediction Procedia CIRP 80 151-undefined
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