International Journal of Computer Integrated Manufacturing is an academic journal published by Taylor & Francis. (ISSN 0951-192X, impact factor 4.0).
Aims and scope
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 human centric engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0 & 5.0, intelligent manufacturing, digital manufacturing, AI enabled 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 nearly 40 years.
IJCIM continues to grow and is an established forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, AI & deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, human centric manufacturing and digital enterprise technologies to name a few.
The journal is intended for senior managers and researchers in manufacturing engineering management, industrial engineering, computer science, and systems integration as well as mechanical engineers, automation & control engineers and software engineers intending to benefit from connected manufacturing environments.
All submitted manuscripts are subject to initial appraisal by the Senior Editor with administrative checks comprising of alignment with the journal scope, literature review publication strategy, use of AI and research ethics including accessibility of data. If suitable, the paper will be peer reviewed by independent, anonymous expert referees through an international Editorial team and Editor in Chief. All peer reviews are double anonymized with submission online via the T&F Submission Portal.
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