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International Journal of Production Research Volume 60, 2022 - Issue 17
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Research Article

A twin data and knowledge-driven intelligent process planning framework of aviation parts

Jingjing Lia School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of ChinaView further author information
,
Guanghui Zhoua School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of China;b State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of ChinaCorrespondence[email protected]
View further author information
&
Chao Zhanga School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, People’s Republic of ChinaView further author information
Pages 5217-5234 | Received 23 Dec 2020, Accepted 30 Jun 2021, Published online: 19 Jul 2021

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Chao Zhang, Jingjing Li, Guanghui Zhou, Qian Huang, Min Zhang, Yifan Zhi & Zhibo Wei. (2024) A multi-level modelling and fidelity evaluation method of digital twins for creating smart production equipment in Industry 4.0. International Journal of Production Research 62:10, pages 3671-3689.
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