IET Collaborative Intelligent Manufacturing

Aims & Scope

Collaborative intelligent manufacturing finds its root in the need to develop efficient and adaptive production and distribution systems that can simultaneously meet the expectations of ever-changing market demands.

A fully Gold Open Access journal, IET Collaborative Intelligent Manufacturing, aims to attract papers on methodologies and techniques for the application of intelligence, data science and emerging information and communication technologies in the design, modeling, simulation, planning, and optimisation of product, process, production, assembly, supply chain and logistics.

The journal covers the full range of collaborative intelligent manufacturing, including: Agent-based collaborative intelligent manufacturing Collaborative product design Human-centric/customer-oriented product design Development of smart/intelligent products with embedded intelligence Sensor-fusion for intelligent machining and inspection Internet of Things, Cyber-Physical Systems in intelligent manufacturing Big Data in intelligent manufacturing Distributed virtual reality and augmented reality in intelligent manufacturing Collaborative intelligent process planning and scheduling Human-machine interactions, human-robot/robot-robot collaboration in manufacturing Collaborative virtual enterprises Smart factories, supply chains and logistics Intelligent manufacturing standardisation Preventative and predictive maintenance of manufacturing equipment Cybersecurity in collaborative intelligent manufacturing

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Computer Science and Engineering, ensuring accessibility and quality in research dissemination.

This journal does not charge a mandatory Article Processing Charge (APC). However, optional open access publication may incur fees based on the publisher’s policies.

Explore journals without APCs for alternative publishing options.