Industries — Industry
Industrial intelligence for complex plants.
Manufacturing and process environments produce continuous operational information. The difficulty is rarely collecting it — it is making it mean something in time to act.
The situation
The data exists. The reading does not.
- Separated systems
- Production, quality, maintenance and energy typically live in different systems that were never designed to be read together.
- Analysis after the fact
- Reporting often describes what already happened, at a moment when the decision it would have informed has passed.
- Knowledge held by people
- The most reliable explanation of a deviation is frequently in someone's head rather than in a system anyone else can consult.
Where we apply
Operational areas.
- Production
- Visibility over throughput, stability and the conditions that separate a good run from a poor one.
- Quality
- Relationships between process conditions and the characteristics of what is produced.
- Maintenance
- Patterns that precede failure, and the operational context needed to decide when to intervene.
- Utilities and energy
- Consumption read against production, so efficiency is measured against output rather than in isolation.
- Process engineering
- How the process behaves in practice, compared with how it was specified.
- Continuous improvement
- Evidence for the initiatives that are worth running, and for the ones that are not.
Bring us an industrial problem.
The best conversations start from a specific operational difficulty rather than a technology brief.