Leveraging IoT & AI for Smart Manufacturing through Smart Industrial Automation

Abstract

Smart manufacturing refers to utilization of advanced technology & data analytics to improve the efficacy and productivity of manufacturing processes. This includes the use of interconnected machines and tools, big data processing, AI, and advanced robotics technology. The goal is to optimize energy and workforce requirements and ultimately improve the overall performance of the manufacturing process. In recent years, amalgamation of disruptive technologies like Industrial Internet, CPS, cybersecurity, data analytics, adaptive robotics and AI, and additive manufacturing has created significant challenges for manufacturing companies and service systems. These challenges arise from the required coordination and connectivity of these technologies. The paper highlights the significance of establishing a connection between different devices and also between humans and machines within a factory environment. This connectivity aids in gathering and analyzing data that can be used to develop innovative solutions for complex problems. Ultimately, it leads to improved quality, reduced costs, and plumated competitiveness in the manufacturing industry. Looking to the future, the direction of smart manufacturing is likely to continue towards greater integration of AI, robotics, and the Internet of Things. The focus will be on developing more advanced and adaptable systems that can respond to changing market demands and improve overall efficiency and productivity. There will also be an increasing emphasis on sustainability and environmental responsibility, with smart manufacturing systems designed to minimize waste and reduce energy consumption. Cybersecurity will remain a critical concern, with companies investing in measures to protect against potential cyber-attacks and ensure the safety and security of sensitive data.