Description
Process optimization in manufacturing uses AI algorithms to analyze data points from various production stages to identify inefficiencies, streamline workflows, and suggest improvements. By examining metrics such as cycle time, throughput, and defect rates, AI models can pinpoint where changes can lead to better productivity and reduced waste. This approach ensures that production lines operate at optimal levels, enhancing output and reducing operational costs.
