INDUSTRYNORTH / Manufacturing
Connect operating conditions, equipment health and production context. Focus engineering effort on the deviations that affect throughput, quality and energy use.
01 / THE CORE PACKAGE
Start with the assets and data that matter. We agree on scope and success criteria before building.
Data assessment, model validation, and delivery into your tools: Power BI, Tableau, custom applications or CMMS.
Optional modules selected for value and data readiness.
Quality prediction with soft sensors
Defect-driver analysis
Process-setting recommendations
Technical-document and maintenance workflows
PLC/historian signals, operating modes, production counts, product/batch context and maintenance records. Quality models need aligned laboratory or inspection labels.
Compare like operating conditions and product mixes. Statistical associations prioritize investigation; they do not establish a confirmed physical cause.
02 / WHAT A FINDING LOOKS LIKE
Energy intensity rises approximately 18% in the example’s loaded production modes.
ILLUSTRATIVE EXAMPLE · NOT A CLIENT RESULTSynthetic measurements and an illustrative expected profile. Select a point to inspect its values.
| Time | Expected (kWh/t) | Observed (kWh/t) |
|---|---|---|
| D1 | 18 | 18 |
| D2 | 18.3 | 18.3 |
| D3 | 18.4 | 18.4 |
| D4 | 18.1 | 18.1 |
| D5 | 17.7 | 17.7 |
| D6 | 17.6 | 20.8 |
| D7 | 17.9 | 21.1 |
| D8 | 18.3 | 21.6 |
| D9 | 18.4 | 21.7 |
| D10 | 18.2 | 21.5 |
| D11 | 17.8 | 21 |
| D12 | 17.6 | 20.8 |
Four matched product/mode groups. This ranks associations for investigation, not proven physical causes.
| Product / operating group | Expected (kWh/t) | Observed (kWh/t) |
|---|---|---|
| A | 18 | 21.2 |
| B | 21 | 24.8 |
| C | 16 | 16.1 |
| D | 20 | 20.2 |
03 / FROM EVIDENCE TO DECISION
Explore each stage. See the sources, the proposal, and the point where your team decides.
OPERATIONS INTELLIGENCESIMULATIONEnergy intensity rises approximately 18% in the example’s loaded production modes.
Synthetic measurements and an illustrative expected profile. Select a point to inspect its values.
A mode-aware model connects energy behavior with product context and maintenance knowledge.
Evidence connected
Evidence connected
Evidence connected
Sample documents prepared for this demonstration.
Compare energy per tonne only within compatible product and loaded-mode groups.
An inspection of the drive and auxiliary system is pending verification.
The difference remains after matching production context [1]. Review drive and auxiliary-system evidence [2] before assigning a cause. The model prioritizes the investigation.
The proposal retains its supporting data and documents.
A focused energy investigation is ready for the plant team.
Evidence reviewed · proposal prepared
Illustrative data · sample documents · simulated workflow. These are not client results.
Energy intensity rises approximately 18% in the example’s loaded production modes.
The difference remains after matching production context [1]. Review drive and auxiliary-system evidence [2] before assigning a cause. The model prioritizes the investigation.
A focused energy investigation is ready for the plant team.
04 / MANAGED ANALYTICS
Equipment changes. Sensors drift. Operations evolve. We keep models aligned with that reality.
See model care in action ↗