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Designing and modeling of self-organizing manufacturing system in a digital twin shop floor

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Abstract

The increasing personalized product demands bring reformation to the manufacturing paradigm. Traditional manufacturing systems seldom analyze and give feedback on the data collected during production. The bottleneck between the physical and digital worlds of manufacturing systems is the lack of interoperability. In this paper, a digital twin-based self-organizing manufacturing system (DT-SOMS) is presented under the individualization paradigm. On the basis of the interconnection between smart workpieces and smart resources via decentralized digital twin models, a decentralized self-organizing network is established to achieve intelligent collaboration between tasks and resources. The mechanism of job-machine optimal assignment and adaptive optimization control is constructed to improve the capabilities of reconfiguration and responsiveness of the DT-SOMS. An implement case is designed to illustrate that the proposed DT-SOMS can realize synchronized online intelligence in the configuration of resources and response to disturbances.

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Funding

This work was supported by the National Key Research and Development Program of China [grant number 2021YFB1716304], the National Natural Science Foundation of China [grant number 52075257], and the Key Research and Development Program of Jiangsu Province [No. BE2021091].

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Authors and Affiliations

  1. College of Mechanical and Electrical Engineering, Nan**g University of Aeronautics and Astronautics, Nan**g, 210016, China

    Jiaye Song, Zequn Zhang, Dunbing Tang, Haihua Zhu, Li** Wang & Qingwei Nie

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  1. Jiaye Song
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  2. Zequn Zhang
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  5. Li** Wang
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Correspondence to Zequn Zhang.

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Song, J., Zhang, Z., Tang, D. et al. Designing and modeling of self-organizing manufacturing system in a digital twin shop floor. Int J Adv Manuf Technol 131, 5589–5605 (2024). https://doi.org/10.1007/s00170-023-10965-6

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