Ethon redefines productivity in Metals & Materials
| The Problem | How Ethon solves it | The Outcome |
|---|---|---|
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Hours wasted on manual analysis of disconnected data
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Data Layer: Unifies production data for plant-wide visibility
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Real-time insights and decisions, no manual preparation
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Process drift in continuous operations is detected too late
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Process Optimization workflow: Identifies drivers of drift and prescribes stabilizing parameters
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Higher stability, fewer deviations, and less scrap
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High energy consumption driven by manual, trial-and-error tuning
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Process Optimization workflow: Identifies energy-efficient operating windows
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Lower energy cost and improved operational efficiency
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Raw material variability drives inconsistent product quality
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Process Optimization workflow: Adapts setpoints to raw material characteristics
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More predictable quality and higher first-pass yield
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Manual setpoint adjustments cause instability and scrap
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Process Control workflow: Detects emerging deviations and recommends corrective actions
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More stable processes, fewer excursions, and lower scrap
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Reactive response to equipment issues or quality losses
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Early Fault Detection workflow: Anomaly detection with preventive actions
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Less downtime, fewer quality issues, and stable production
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Expertise is lost when skilled workers change roles
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Knowledge Hub: Process logic is captured and embedded
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Retained, standardized, and scalable know-how
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Proven results from the shop floor
Proof over promise. See what we’ve delivered.
Powering visual inspection workflows across 20 factories. Delivered $10M+ in savings by replacing legacy quality systems and supporting a zero customer-complaint target.
Identified critical quality drivers across 3,000+ transistor manufacturing process parameters, resulting in a 51% scrap reduction. Delivered $1M+ in increased sales.
Enabling cross-factory root cause analysis. Awarded with the 2024 Open Bosch Award for significant reductions in CO₂ emissions, scrap, and rework.
Supporting complex assembly operations amid labor shortages. Enabling (junior) engineers to deliver reliable root cause analysis across hundreds of process parameters.
Increasing first time right in chemical production through data-driven centerlining. Reduced manual batch rework by 70%, lowering unit costs and improving productivity.
Establishing a global standard for optimizing and controlling chocolate production lines. Saved millions of chocolate truffles through data-driven setpoint recommendations.
Stabilizing processed food production with data-driven centerlining and setpoint recommendations. Delivered ~$100k in cost savings per line per year by reducing material usage.
