MANUFACTURING ANALYTICS

Move from production data to loss analysis.

ClearRivet manufacturing analytics are designed to show where time and output are being lost, how performance changes over time and which losses deserve attention first.

WHY IT MATTERS

Analytics should answer operational questions.

Useful manufacturing analytics help a team decide what to work on next: which machine, which loss, which shift, which product and whether an improvement actually held.

TREND

See change over time

Compare shifts, periods and machines instead of relying on a single current OEE number.

PARETO

Prioritise repeated losses

Group downtime and event reasons so teams can separate recurring losses from isolated events.

CONTEXT

Keep the operating story

Analyse production alongside machine, order, shift and reason context rather than looking at disconnected KPI totals.

CLEARRIVET APPROACH

Analytics should answer operational questions.

Useful manufacturing analytics help a team decide what to work on next: which machine, which loss, which shift, which product and whether an improvement actually held.

OEE and component trends
Downtime Pareto analysis
Production output trends
Shift comparison
Machine comparison
Historical period selection
Order/product context
Multi-site roll-up views
See ClearRivet working

COMMON QUESTIONS

Questions manufacturing teams ask.

Is ClearRivet an AI analytics platform?

ClearRivet is first and foremost a production-data and manufacturing-visibility platform. Any advanced analysis should be grounded in validated operational data rather than replace it.

Can managers compare machines?

Yes. The platform is designed to support plant-level views and historical comparisons across machines within the authorised scope.

Can data be exported?

Production/event data can be made available for analysis workflows where supported by the product configuration and user permissions.

See it. Then prove it.

Start with one machine for 14 days free.

Get your private simulator login