The automotive landscape is changing fast with alternative powertrains, increasing regional diversity, less emphasis on ownership & increasing regulatory pressures. More choice means more uncertainty. Managing that uncertainty means an increased focus on manufacturing flexibility but with higher pressures on cost control than ever before.
Falkonry’s AI Cloud provides allows automotive industry a cost effective approach to managing complex assembly lines. By using existing operational data, engineering teams can uncover high value use cases with more flexibility & speed than ever before.
Identify defects as they occur for timely actions
Ensure reliability through tighter quality control
Create better driver experiences through data
Quality of machine welds varies over time resulting in expensive manual rework
Discover patterns that precede quality variation in robotic welds & provide advanced alert
96% reduction in downstream rework & material losses
Quality deviations at point of production lead to downstream production waste
Identify quality deviations by comparing observed patterns with known good patterns
Real-time quality monitoring results in improved production yield
Rework due to paint defects lead to line stoppage & material/labor cost to correct defects
Identify when defects are likely to occur & explain which signals or factors contribute to predictions
Throughput improvement due to reduced incidence of defects. Information from early failures used to adjust the process
Falkonry Time Series AI Cloud enabled a leading automotive company to build & deploy ML models that classified the welds in real time & reduce number of welds sent for manual visual inspection.
