Abstract

The concept of digital twinning has become a hot topic in the manufacturing industry in recent years. The emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. The job shop scheduling problem has been an important research field in the discrete manufacturing industry. Digital twin technology is adopted to solve the problem of job shop scheduling, which provides the possibility for the intelligent development of workshops. Based on digital twin technology and combined with the actual problem of production line scheduling, we propose a new intelligent scheduling platform to solve the shop scheduling problems above. Meanwhile, based on the prediction and diagnosis of multisource dynamic interference in the workshop production process by big data analysis technology, the corresponding interference strategy is formulated in advance by the scheduling cloud platform. The model simulation experiment of intelligent dispatching cloud platform was carried out, and some enterprises in intelligent manufacturing workshop were taken as examples to verify the superiority of the dispatching cloud platform. Finally, we look forward to the future research direction of intelligent manufacturing based on digital twin technology.

Highlights

  • E concept of digital twinning has become a hot topic in the manufacturing industry in recent years. e emerging digital twin technology is an intelligent technology that makes full use of multimodels, big data, and interdisciplinary knowledge, which provides some new approaches for the field of the intelligent manufacturing industry. e job shop scheduling problem has been an important research field in the discrete manufacturing industry

  • E rest of the paper is organized as follows. e evolution process and application scenario of digital twin technology are presented in Section 2, followed by the fusion of digital twinning technology and the shop scheduling problem proposed in Section 3. e framework model of intelligent scheduling platform in intelligent manufacturing workshop based on digital twinning is illustrated and a case study is presented in Section 4. en, related outlook contents are presented in Section 5, which concludes the paper

  • Digital Twin Technology Concept and Application in Cyber-Physical System (CPS). e concept of the digital twin was first proposed in the Product Lifecycle Management (PLM) course taught by American scholar Grieves in 2003, and the digital twin was defined as a combination of a set of virtual models and can depict potential or real physical manufacturing products completely from micro to macro

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Summary

Literature Review

E concept of the digital twin was first proposed in the Product Lifecycle Management (PLM) course taught by American scholar Grieves in 2003, and the digital twin was defined as a combination of a set of virtual models and can depict potential or real physical manufacturing products completely from micro to macro. It already includes all the elements of digital twinning: real space, virtual space, and information interaction between real space and virtual space data streams [6]. The performance of the whole manufacturing system is simulated to further optimize the utilization of all resources

Featured Application Scenarios of Digital Twin
Case Study
Conclusion and Future Work
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