The Development Process of Digital Twins

Andrew Kusiak

Engineering ›› : 202512029

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Engineering ›› :202512029 DOI: 10.1016/j.eng.2025.12.029
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The Development Process of Digital Twins
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Andrew Kusiak. The Development Process of Digital Twins. Engineering 202512029 DOI:10.1016/j.eng.2025.12.029

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References

[1]

Grieves M. Digital twin:manufacturing excellence through virtual factory replication. Report. Washington, DC: NASA; 2014.

[2]

Fuller A, Fan Z, Day C, Barlow C. Digital twin: enabling technologies, challenges and open research. IEEE Access 2020; 8:108952-71.

[3]

Barricelli BR, Casiraghi E, Fogli D. A survey on digital twin: definitions, characteristics, applications, and design implications. IEEE Access 2019; 7:167653-71.

[4]

Thelen A, Zhang X, Fink O, Lu Y, Ghosh S, Youn BD, et al. A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies. Struct Multidiscipl Optim 2022; 65(12):354.

[5]

Wright L, Davidson S. How to tell the difference between a model and a digital twin. Adv Model Simul Eng Sci 2020; 7(1):13.

[6]

Zhang R, Wang F, Cai J, Wang Y, Guo H, Zheng J. Digital twin and its applications: a survey. Int J Adv Manuf Technol 2022; 123(11-12):4123-36.

[7]

Human C, Basson AH, Kruger K. A design framework for a system of digital twins and services. Comput Ind 2023; 144:103796.

[8]

Semeraro C, Lezoche M, Panetto H, Dassisti M. Data-driven invariant modelling patterns for digital twin design. J Ind Inf Integr 2023; 31:100424.

[9]

Bowman D, Dwyer L, Levers A, Patterson EA, Purdie S, Vikhorev K. A unified approach to digital twin architecture-proof-of-concept activity in the nuclear sector. IEEE Access 2022; 10:44691-709.

[10]

Wang H, Li H, Wen X, Luo G. Unified modeling for digital twin of a knowledge-based system design. Robot Comput-Integr Manuf 2021; 68:102074.

[11]

Redelinghuys AJH, Basson AH, Kruger K. A six-layer architecture for the digital twin: a manufacturing case study implementation. J Intell Manuf 2020; 31(6):1383-402.

[12]

Moyne J, Qamsane Y, Balta EC, Kovalenko I, Faris J, Barton K, et al. A requirements driven digital twin framework: specification and opportunities. IEEE Access 2020; 8:107781-801.

[13]

Miller ME, Spatz E. A unified view of a human digital twin. Hum-Intell Syst Integr 2022; 4(1-2):23-33.

[14]

Mori M, Cleve A. Towards highly adaptive data-intensive systems:a research agenda. In: Franch X, Soffer P, editors. Advanced information systems engineering workshops. Berlin: Springer; 2013. p. 386-401.

[15]

Solanki M, Božic B, Dirschl C, Brennan R. Towards a knowledge driven framework for bridging the gap between software and data engineering. J Syst Softw 2019; 149:476-84.

[16]

Wilde AS, Wanielik F, Rolinck M, Mennenga M, Abraham T, Cerdas F, et al. Ontology-based approach to support life cycle engineering: development of a data and knowledge structure. Procedia CIRP 2022; 105:398-403.

[17]

Zhou P, Li P, Zhao S, Wu X. Feature interaction for streaming feature selection. IEEE Trans Neural Netw Learn Syst 2021; 32(10):4691-702.

[18]

Kusiak A. Agentic manufacturing system = digital twin + manufacturing. J Intell Manuf 2025; 36(4):2221-2.

[19]

Davies O, Makkattil A, Jiang C, Farsi M. A digital twin design for maintenance optimization. Procedia CIRP 2022; 109:395-400.

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