Abstract

With the advent of new generation information technologies in industry and product design, the big data-driven product design era has arrived. However, the big data-driven product design mainly places emphasis on the analysis of physical data rather than the virtual models, in other words, the convergence between product physical and virtual space is usually absent. Digital twin, a new emerging and fast growing technology which connects the physical and virtual world, has attracted much attention worldwide recently. This paper presents a new method for product design based on the digital twin approach. The development of product design is briefly introduced first. The framework of digital twin-driven product design (DTPD) is then proposed and analysed. A case is presented to illustrate the application of the proposed DTPD method.

Keywords

Product designProduct (mathematics)Big dataProduct engineeringComputer scienceNew product developmentDesign technologySystems engineeringIndustrial engineeringEngineeringData miningMathematicsBusinessMarketing

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Publication Info

Year
2018
Type
article
Volume
57
Issue
12
Pages
3935-3953
Citations
1062
Access
Closed

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Cite This

Fei Tao, Fangyuan Sui, Ang Liu et al. (2018). Digital twin-driven product design framework. International Journal of Production Research , 57 (12) , 3935-3953. https://doi.org/10.1080/00207543.2018.1443229

Identifiers

DOI
10.1080/00207543.2018.1443229