The Journal of Intelligent Manufacturing (JIMS) is a premier publication dedicated to advancing the theory and application of intelligent systems in manufacturing. It covers a wide range of topics, including artificial intelligence, machine learning, and automation technologies, all geared towards improving manufacturing processes.
The scope includes, but is not limited to, intelligent robotics, expert systems, and data mining applications in manufacturing. JIMS serves a diverse audience, including manufacturing engineers, computer scientists, and researchers interested in the cutting-edge of intelligent manufacturing systems. It provides insights into optimizing production, enhancing quality control, and improving supply chain management. Indexed in Web of Science and Scopus.
JIMS plays a vital role in bridging the gap between research and industrial application. Researchers are encouraged to contribute innovative studies that address real-world manufacturing challenges. By promoting the development and implementation of intelligent manufacturing technologies, JIMS seeks to drive efficiency and sustainability in the manufacturing sector, helping to shape the future of industry.