Journal of Computer Aided Manufacturing and Automation ISSN: 3107-7404 (Online)

The Journal of Computer Aided Manufacturing and Automation, published by Mantech Publications, is a peer-reviewed national journal dedicated to the latest advancements in manufacturing technologies and automation systems. It covers topics such as CAD/CAM, robotics, intelligent control, and industrial automation. The journal aims to bridge the gap between academic research and industry applications. It serves as a valuable resource for researchers, engineers, and practitioners in the field of smart manufacturing.

Aim

The aim of the Journal of Computer Aided Manufacturing and Automation is to provide a scholarly platform for disseminating high-quality research, case studies, and reviews that advance the knowledge and practice of manufacturing technologies and automation systems. The journal seeks to bridge the gap between theoretical research and practical industrial applications, fostering innovation in smart and sustainable manufacturing.


Focus

The journal focuses on original contributions that address emerging trends, tools, and methodologies in computer-aided design and manufacturing, robotics, intelligent control, and industrial automation. Emphasis is placed on interdisciplinary research that integrates computer science, engineering, and applied sciences to enhance productivity, efficiency, and innovation in modern manufacturing systems.


Scope

The scope of the journal includes, but is not limited to:

  • CAD/CAM/CAE applications in design and manufacturing

  • Robotics and mechatronics for industrial automation

  • Artificial intelligence and machine learning in manufacturing systems

  • Intelligent control systems and adaptive manufacturing processes

  • Computer-integrated manufacturing (CIM)

  • Smart factories and Industry 4.0 practices

  • Flexible and additive manufacturing technologies

  • Simulation, modeling, and optimization of manufacturing systems

  • Human–machine interaction and ergonomics in automation

  • Industrial IoT, sensors, and cyber-physical systems

  • Sustainable and green manufacturing practices

The journal encourages submissions from academics, researchers, and industry professionals to promote collaboration and knowledge exchange in advancing computer-aided manufacturing and automation technologies.