Manufacturing applications
A clearer view across your plants.
Compare production using shared definitions, even when sites have different equipment and systems.
- Plant A Production events
- Shared definitions The same meaning across sites
- Plant B Comparable production information
Recognise these challenges?
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Inconsistent KPI Definitions
Different sites use different definitions for the same production KPI, making accurate comparison difficult.
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Plant-Specific Integrations
Each plant relies on custom integrations that require separate maintenance and are difficult to reuse elsewhere.
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Missing Operational Context
Quality or downtime data arrives without the context needed to understand the cause and take action.
Start with a bounded question.
Focus on one measurable production question before choosing the technology.
Compare a selected production metric across a limited set of lines using agreed units, event definitions and timestamps.
Define the baseline, responsible teams and acceptance criteria before selecting the technical approach.
A path from assessment to evidence
- Assess Review systems, definitions and operating constraints.
- Test Validate a selected data flow in the FactoVia Lab.
- Evaluate Use the FactoVia Arrow method to evaluate the results and decide what to invest in next.
What can manufacturers learn from large-scale IIoT?
Lessons from connecting industrial data across multiple sites.
Vincent’s analysis of Renault’s IIoT journey explores the architecture, operational lessons and approach to scaling.
Other manufacturing environments
Start with the problem you need to solve.
Tell us what is slowing your team down. We will help you identify a sensible next step.