Bottleneck Prediction

RTX uses a data-enabled factory workflow to track parts and spot production bottlenecks at Pratt & Whitney AutoAir in Holt, Michigan.

Business impact

• Production output — RTX uses the workflow to increase production at the Michigan factory.
• Bottleneck identification time — The system is used to identify production bottlenecks as they happen.

Data requirements

• Parts location data (sensor) — RTLS provides location data for parts moving through production.

AI methods and techniques

• Real-time tracking — The factory workflow tracks parts as they move through production.
• Bottleneck identification — The system flags where production is slowing down.

Industries

Real-world evidence

1 documented case study on record.

Companies using this: RTX.