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Online ISSN 2516-8398

Following our recent announcement about the IET’s partnership with Wiley, IET Collaborative Intelligent Manufacturing has migrated to a new online peer-review management system, using ScholarOne.

The ScholarOne site is now open for all new submissions. Please note that any papers that have been submitted in the journal prior to 1st September 2020 will continue to run in ReView.

For further information on Article Processing Charges (APCs), Wiley’s transformative agreements, Research 4 Life policies, please visit our FAQ Page or contact [email protected]

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.

IET Collaborative Intelligent Manufacturing, is now indexed in Ei Compendex, IET Inspec and the Directory of Open Access Journals (DOAJ).

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Average review process timings:
Submission to acceptance : 15 weeks
Acceptance to efirst: 6 weeks

Submit your paper

IET Collaborative Intelligent Manufacturing now accepts Short Communication articles for the rapid dissemination of original and high impact peer-reviewed research! Find out more here.

''IET Collaborative Intelligent Manufacturing is launching a new article type of short communications reporting on innovative ideas and original results that need to be rapidly published. To this purpose, on average authors will be provided with a first-round decision within 10 weeks of submission. This new type of peer-reviewed short communication articles with a length of 2~4 pages will provide a timely and concise report of innovative research ideas and application results in the areas of collaborative intelligent manufacturing'' - Weiming Shen and Liang Gao, Editors-in-Chief, IET Collaborative Intelligent Manufacturing.

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