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PrismaWerk

Solutions

Four systems. One goal: more uptime, more speed, fewer defects.

Pick the problem first: equipment failures, bottlenecks, quality anomalies, or limited visibility. We then build the data workflow, model, dashboard, or optimizer that moves it.

Get on a callSee case studies
Manufacturing equipment area used to illustrate predictive maintenance and equipment performance analytics.

Availability

Predictive Maintenance

Catch degradation early, rank maintenance by what it costs you in throughput, and cut unplanned downtime before it hits OEE.

Anomaly detectionFailure predictionMaintenance prioritization
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Automated semiconductor production transfer system used to illustrate production planning optimization.

Performance

Production Optimization

Find the bottlenecks, kill the micro-stops, and turn real operating constraints into schedules that recover throughput.

Mixed-integer programmingConstraint optimizationBottleneck analysis
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Engineers inspecting semiconductor production equipment, representing quality analytics and defect review.

Quality

Quality Analytics

Flag quality anomalies, rank review work by risk, and tie defect patterns back to the process conditions that cause them.

Time-series clusteringOutlier detectionComputer vision evaluation
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Operations team monitoring technical systems, representing OEE dashboards and manufacturing visibility.

Visibility

OEE Dashboards / Monitoring

Give leaders and production teams one shared view of Availability, Performance, Quality, and the losses sitting behind them.

OEE calculation designMES/ERP integrationRoot-cause dashboards
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Next step

Not sure which of the four to start with? That's what the first call is for.

We'll map your current OEE, the data you already have, and the loss category with the strongest business case, in under an hour.

Book a strategy callSee the demos