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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.
Mandala et al. (Mon,) studied this question.
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