Abstract
The integration of digital technologies into industrial process monitoring systems is transforming how manufacturing and production processes are managed and optimized. Technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), big data analytics, and cloud computing provide real-time insights into equipment performance, production quality, and operational efficiency. This paper explores the role of these digital technologies in enhancing industrial process monitoring, focusing on their applications in predictive maintenance, quality control, and process optimization. We discuss the challenges and opportunities in implementing these technologies, along with case studies showcasing successful adoption in various industries.
All articles published in the American Journal of Industrial and Production Engineering (AJIPE) are distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license allows others to copy, distribute, remix, adapt, and build upon the work, even commercially, as long as proper credit is given to the original author(s) and source. Authors are responsible for ensuring that their submissions do not infringe on any third-party copyrights and that all necessary permissions for copyrighted material have been obtained.