About the Journal

Cognitive Manufacturing Systems (CMS) is an international, peer-reviewed, open-access scholarly journal dedicated to advancing research at the intersection of manufacturing engineering, artificial intelligence, computational intelligence, and systems engineering. The journal serves as a global platform for the dissemination of high-quality scientific contributions that address emerging challenges and innovations in intelligent, data-driven, and cognitive manufacturing environments.

The journal publishes original research articles, systematic and narrative review papers, short communications, and industrial case studies that provide significant theoretical, methodological, or practical contributions to the field. All submitted manuscripts undergo a rigorous double-blind peer-review process conducted by experts in the relevant disciplines to ensure scientific quality, originality, technical accuracy, and research integrity.

Focus and Scope

The journal welcomes interdisciplinary research covering, but not limited to, the following areas:

• Cognitive Manufacturing Systems

• Artificial Intelligence and Machine Learning in Manufacturing

• Deep Learning and Explainable AI for Industrial Applications

• Digital Twins and Virtual Manufacturing

• Cyber-Physical Production Systems (CPPS)

• Smart Factories and Industry 4.0/5.0

• Industrial Internet of Things (IIoT)

• Advanced Manufacturing Systems

• Intelligent Automation and Robotics

• Production Planning, Scheduling, and Optimization

• Operations Research and Decision Support Systems

• Manufacturing Data Analytics and Big Data

• Predictive Maintenance and Condition Monitoring

• Supply Chain Analytics and Intelligent Logistics

• Human–Machine Collaboration and Cognitive Ergonomics

• Sustainable Manufacturing and Green Production Systems

• Manufacturing Quality Engineering and Reliability

• Simulation Modeling and Digital Manufacturing

• Additive Manufacturing and Advanced Production Technologies

• Industrial Informatics and Manufacturing Intelligence

The journal particularly encourages studies integrating engineering methodologies with computational intelligence to improve manufacturing performance, resilience, adaptability, productivity, and sustainability.

Open Access Policy

Cognitive Manufacturing Systems is a fully open-access journal. All published articles are made freely and permanently accessible online immediately upon publication without subscription barriers. Readers may read, download, copy, distribute, print, search, and link to the full texts of published articles in accordance with the journal's licensing policy.

The journal believes that unrestricted access to scientific knowledge accelerates innovation, promotes international collaboration, and increases the visibility and impact of scholarly research.

Copyright and Licensing

Authors retain the copyright of their published work while granting the journal the right of first publication. Articles are published under an open license specified by the journal, allowing broad dissemination and reuse with appropriate attribution to the original authors and source.

Authors are responsible for ensuring that submitted manuscripts are original, have not been published elsewhere, and do not infringe upon the intellectual property rights of any third party.

Publication Ethics

The journal adheres to internationally recognized standards of publication ethics and research integrity. Editors, reviewers, and authors are expected to follow principles of transparency, confidentiality, fairness, and academic honesty throughout the editorial process. Manuscripts are evaluated solely on scientific merit without discrimination based on nationality, institutional affiliation, gender, race, religion, or political beliefs.

All submissions may be screened using plagiarism-detection software prior to peer review.

Peer Review Process

All manuscripts submitted to the journal undergo an initial editorial assessment followed by a double-blind peer-review process involving at least two independent reviewers with expertise relevant to the manuscript. Editorial decisions are based on originality, methodological rigor, scientific contribution, clarity of presentation, and relevance to the journal's scope.

Sponsorship Disclosure

The journal operates as an independent scholarly publication. Any institutional support, sponsorship, or publishing partnership will be transparently disclosed on the journal website. Editorial decisions are made independently and are not influenced by sponsors or funding organizations.

Digital Archiving

To ensure the long-term preservation and accessibility of published content, the journal supports participation in recognized digital preservation systems, including the LOCKSS (Lots of Copies Keep Stuff Safe) and CLOCKSS (Controlled LOCKSS) archival networks when available through the journal's publishing platform. Additional archiving arrangements may include institutional repositories and national library preservation services.

Privacy Statement

Names, email addresses, institutional affiliations, and other personal information entered into the journal website will be used exclusively for the editorial and publishing purposes of the journal. Personal information will not be shared with third parties or used for any purpose unrelated to the operation of the journal, except where required by law or necessary for publication services.

History of the Journal

Cognitive Manufacturing Systems was established to provide an international forum for advancing scientific knowledge in intelligent manufacturing technologies and cognitive production systems. The journal aims to bridge the gap between academic research and industrial practice by publishing innovative studies that support the digital transformation of manufacturing toward more intelligent, autonomous, resilient, and sustainable production systems.