生产数字孪生：关于挑战的系统文献综述

IF 3.7 3区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Computer Integrated Manufacturing Pub Date : 2024-02-21 DOI:10.1080/0951192x.2024.2314792

Slimane Kerrouchi, El-Houssaine Aghezzaf, Johannes Cottyn

引用次数: 0

摘要

制造业正在进入第四次工业革命，其目标是将制造业模式转变为数据驱动的智能制造。然而，许多障碍仍然限制着智能制造的采用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Production digital twin: a systematic literature review of challenges

The manufacturing industry is entering the fourth industrial revolution, which aims to shift the manufacturing paradigm to data-driven smart manufacturing. Many barriers still limit the adoption of...

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来源期刊

International Journal of Computer Integrated Manufacturing 工程技术-工程：制造

CiteScore

9.00

自引率

9.80%

发文量

审稿时长

10 months

期刊介绍： International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years. IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.