Improving throughput and decreasing costs with AI-Powered Production
Process improvement for manual assembly lines has historically required station-by-station engineering efforts. AI-Powered Production finally lets you scale.
Process improvement for manual assembly lines has historically required station-by-station engineering efforts. AI-Powered Production finally lets you scale.
To improve a process, you must first measure it. On most manual assembly lines, this means engaging in manual time-and-motion studies.
These studies result in datasets that are too small and tainted by observation bias, with significant opportunity cost for any engineer investing their time.
But there hasn’t been an alternative.
AI-Powered Production drives line optimization
The core promise of AI-Powered Production is that routine data collection on manual assembly lines can be automated.
Drishti provides engineers with complete datasets of activities, not sampled activities. Each data point is backed by video.
This frees your people to devote much more time to identifying and realizing improvement opportunities. You can stop going station-by-station and start scaling for greater impact.
Users include:
Just a few things you can do with continuous time study data
Line balancing and variability reduction
More effective process design
More efficient kaizen events
Faster standardized work analysis
Richer shift handover/passdown
Faster recovery from line stoppages
Accelerated NPI (New Product Introduction)
Benefits of AI-Powered Production
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See Drishti’s AI and video traceability technology in action.