International Journal Of Computer Integrated Manufacturing

雜志介紹

International Journal Of Computer Integrated Manufacturing雜志介紹

《International Journal Of Computer Integrated Manufacturing》是一本以English為主的未開放獲取國際優秀期刊，中文名稱國際計算機集成制造雜志，本刊主要出版、報道工程技術-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS領域的研究動態以及在該領域取得的各方面的經驗和科研成果，介紹該領域有關本專業的最新進展，探討行業發展的思路和方法，以促進學術信息交流，提高行業發展。該刊已被國際權威數據庫SCIE收錄，為該領域相關學科的發展起到了良好的推動作用，也得到了本專業人員的廣泛認可。該刊最新影響因子為3.7，最新CiteScore 指數為9。

本刊近期中國學者發表的論文主要有：

• A novel graph neural networks approach for 3D product model retrieval

  Author: Jian, Chengfeng; Lu, Yiqiang; Lin, Mingliang; Zhang, Meiyu

• A digital twin-based multi-objective optimization method for technical schemes in process industry

  Author: Zhu, Xiaoyang; Ji, Yangjian

• Design of intelligent manufacturing system based on digital twin for smart shop floors

  Author: Sun, Mengke; Cai, Zongyan; Zhao, Ningning

• Machine learning in the prediction of formability in aluminum hot stamping process with multiple variable blank holder force

  Author: Lu, Wei; Xiao, Wenchao; Li, Yong; Zheng, Kailun; Wu, Yong

英文介紹

International Journal Of Computer Integrated Manufacturing雜志英文介紹

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.