Authors :
Vishwanadham Mandala; Manogna Dolu Surabhi
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/3apj66t2
Scribd :
https://tinyurl.com/9hjpe4vw
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1221
Abstract :
Artificial intelligence (AI) technologies are
becoming a reality, with intelligent engines that can
learn and simulate human thinking. These engines have
three key features: micro-level intelligence with sensors,
logic-based intelligence with software tools, and the
ability to adapt and learn using algorithms. AI reduces
the need for human intervention and cognitive thinking,
finding more efficient solutions to complex problems in
manufacturing and supply chain industries. AI simulates
human cognition using software tools, allowing for the
automation of tasks and analysis of complex systems.
However, it raises questions about whether problems can
be solved differently and the limitations of explicit
algorithms.
Keywords :
Intelligent Engines, Supply Chain, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM).
Artificial intelligence (AI) technologies are
becoming a reality, with intelligent engines that can
learn and simulate human thinking. These engines have
three key features: micro-level intelligence with sensors,
logic-based intelligence with software tools, and the
ability to adapt and learn using algorithms. AI reduces
the need for human intervention and cognitive thinking,
finding more efficient solutions to complex problems in
manufacturing and supply chain industries. AI simulates
human cognition using software tools, allowing for the
automation of tasks and analysis of complex systems.
However, it raises questions about whether problems can
be solved differently and the limitations of explicit
algorithms.
Keywords :
Intelligent Engines, Supply Chain, Industry 4.0, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Manufacturing (SM).
