Process Optimization (AI)
Using machine learning to analyze manufacturing workflows, identify bottlenecks, predict the impact of parameter changes (e.g., temperature, pressure, speed), and recommend settings that maximize throughput or quality while minimizing waste.
Why it matters
Manufacturers with AI-optimized processes reduce cycle time by 15-40%, energy consumption by 10-20%, and scrap by 30%+. Optimization models learn continuously from production data, compounding improvements.
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Cite this definition
Finocchiaro, Michael. “Process Optimization (AI).” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/process-optimization-ai