TY - GEN
T1 - The Impact of Artificial Intelligence on the Manufacturing Sector
T2 - 6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023
AU - Sukdeo, Nita Inderlal
AU - Mothilall, Devesh
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The business environment and production methods have drastically changed during the last ten years. The driving force for this transition is Fourth Industrial Revolution (4IR) and artificial intelligence (AI). The idea of intelligent augmentation will be at the center of the best AI systems' design. The jobs with the most job security in an AI future will be those requiring management expertise and innovation. Humans differ from other species in this way of capabilities. Those that can work well with others while utilizing AI tools to improve their organization's efficiency, will provide the most value. An output that is both resource- and energy-efficient is a crucial key performance measure for industrial firms to operate profitably and keep their competitiveness. The study presents a conceptual literature framework of the impact of AI in the manufacturing sector. The manufacturing sector is leading the way on the utilization of artificial intelligence technologies. Manufacturers are using AI-powered data analytics to improve productivity, product quality, and worker safety, from major reductions in unexpected downtime to better product design.
AB - The business environment and production methods have drastically changed during the last ten years. The driving force for this transition is Fourth Industrial Revolution (4IR) and artificial intelligence (AI). The idea of intelligent augmentation will be at the center of the best AI systems' design. The jobs with the most job security in an AI future will be those requiring management expertise and innovation. Humans differ from other species in this way of capabilities. Those that can work well with others while utilizing AI tools to improve their organization's efficiency, will provide the most value. An output that is both resource- and energy-efficient is a crucial key performance measure for industrial firms to operate profitably and keep their competitiveness. The study presents a conceptual literature framework of the impact of AI in the manufacturing sector. The manufacturing sector is leading the way on the utilization of artificial intelligence technologies. Manufacturers are using AI-powered data analytics to improve productivity, product quality, and worker safety, from major reductions in unexpected downtime to better product design.
KW - Artificial Intelligence
KW - digital transformation
KW - manufacturing sector
KW - optimized processes
KW - productivity
UR - http://www.scopus.com/inward/record.url?scp=85172000475&partnerID=8YFLogxK
U2 - 10.1109/icABCD59051.2023.10220486
DO - 10.1109/icABCD59051.2023.10220486
M3 - Conference contribution
AN - SCOPUS:85172000475
T3 - 6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023 - Proceedings
BT - 6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023 - Proceedings
A2 - Pudaruth, Sameerchand
A2 - Singh, Upasana
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 August 2023 through 4 August 2023
ER -
