Internet of Things Driven Automated Production Systems using Machine Learning

Abstract

With the advent of Industry 4.0, integrating Cyber-Physical Systems (CPS) and the Internet of Things (IoT) has become crucial in automated production. This study examines the interplay between technological advancements and human factors, particularly the social aspects within this dynamic environment. In the context of Industry 4.0, where CPS and IoT intersect, human factors significantly impact the design, implementation, and operation of automated production systems. This research highlights the mutually beneficial interactions among CPS, IoT, and human-centric components, focusing on how these technologies influence social interactions in automated industrial settings. The integration of intelligent robots and human operators fosters new collaboration and communication models. Understanding these social interactions is key to enhancing the effectiveness and productivity of Industry 4.0 manufacturing. Additionally, the study examines the role of social networks, where CPS and IoT technologies facilitate essential connections between humans and machines. In summary, this research emphasizes the need to incorporate social aspects into developing and implementing Industry 4.0 technologies. Recognizing the impact of CPS, IoT, and human factors on social interactions and networks enables a more comprehensive and efficient technological integration in Industry 4.0.