The Journal of Industrial Information Integration addresses the challenges of integrating information systems in industrial environments. It highlights innovative approaches for data sharing, interoperability, and knowledge management to optimize manufacturing processes and supply chain operations. This journal encompasses the full spectrum of industrial information integration, from theoretical foundations to practical applications.
Topics include but are not limited to data integration techniques, cloud computing for manufacturing, IoT in industrial settings, and the application of AI and machine learning. The journal aims to bridge the gap between information technology and industrial engineering, benefiting both researchers and industry practitioners. It is indexed in databases like Scopus and Engineering Village.
By showcasing cutting-edge research and real-world case studies, the Journal of Industrial Information Integration serves as a platform for advancing the field and driving innovation across industries. Consider submitting your work to contribute to this dynamic area of research.