Devadoss, Anitha Kumari and Govindaraj, Manoj and Gopal, Madhumita Giridhar and Gnanasekaran, Chandramowleeswaran (2024) Transformative technologies: Robotics, IoT, and AI applications in the landscape of smart manufacturing. In: THE 5TH INTERNATIONAL CONFERENCE ON BUILDINGS, CONSTRUCTION, AND ENVIRONMENTAL ENGINEERING: BCEE5, 21–23 November 2023, Amman, Jordan.
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The incorporation of revolutionary technologies—Robotics, IoT, and AI have played a significant role & extraordinary creativity and efficiency in the constantly changing production scene. This study analyses the applications and synergies of these technologies to examine their substantial impact on smart manufacturing. The purpose of the study is to know the adaptability of robotics, IoT, and AI on several manufacturing units, to identify the practical implication of smart manufacturing, and to assess the various benefits associated with the application of robotics, IoT, and AI in the manufacturing sector. The present study used a descriptive research design, secondary data collection with a systematic literature review in order to the ever-evolving landscape of manufacturing, and the integration of transformative technologies—Robotics, IoT and AI. Precision and adaptability in robotics revolutionize assembly lines and difficult operations, increasing productivity and safety. In addition, as devices and sensors are connected, a seamless network is formed, allowing real-time data to flow, and facilitating increased quality control, supply chain management, and predictive maintenance. As the brains behind the business, AI uses cutting-edge algorithms to analyse massive datasets, providing insightful information for decision-making, streamlining procedures, and assuring optimal resource utilization. These three technologies work together to redefine production as a whole.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Management Studies > Marketing Management |
Domains: | Management Studies |
Depositing User: | Mr IR Admin |
Date Deposited: | 29 Aug 2025 05:56 |
Last Modified: | 29 Aug 2025 05:56 |
URI: | https://ir.vistas.ac.in/id/eprint/10860 |