Cited by 132Manufacturing Process and OptimizationDigital Transformation in IndustryEngineering Technology and Methodologies

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Digital twin-based process reuse and evaluation approach for smart process planning

Liu, Jinfeng, Zhou, Honggen, Tian, Guizhong, Liu, Xiaojun, Jing, Xuwen·2019·The International Journal of Advanced Manufacturing Technology

DOI 10.1007/s00170-018-2748-5

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Authors: Liu, J., Zhou, H., Tian, G., Liu, X., & Jing, X.
Affiliations: Jiangsu University of Science and Technology (CN)
Southeast University (CN)
Corresponding author: Liu, Jinfeng
ORCID: Liu, Jinfeng
Zhou, Honggen
Tian, Guizhong
Liu, Xiaojun
Jing, Xuwen
Venue: The International Journal of Advanced Manufacturing Technology
Publisher: Springer Science and Business Media LLC
Published: 2018-10-06
Volume: 100
Issue: 5-8
Pages: 1619-1634
ISSN: 0268-3768 (ISSN-L)
1433-3015
DOI: 10.1007/s00170-018-2748-5
OpenAlex: W2895370217
Cited by: 131
References: 38
Citations by year: 2026: 5 · 2025: 14 · 2024: 9 · 2023: 21 · 2022: 30 · 2021: 22 · 2020: 17 · 2019: 13
FWCI: 10.20
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: The International Journal of Advanced Manufacturing Technology (publishedVersion)
Funders: the National Natural Science Foundation of China (51605204)
China Postdoctoral Science Foundation (No. 2018M630536)
Topics: Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Manufacturing Process and Optimization
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Engineering Technology and Methodologies
Keywords: digital twin, machining process planning, big data, association rule mining

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