Production Data Infrastructure
Ingestion, normalization and validation of existing records
Food plants were not built around a single data model. One production run may be described by a weighbridge ticket, an ERP goods receipt, a batch sheet transcribed at the end of a shift, a laboratory system, a filler count, and an inventory adjustment posted days later. Each is a reasonable record for the team that keeps it. None of them, alone, explains the run.
This layer turns those records into one attributable account of each run while keeping every original intact and reachable. Everything above it, from a yield figure to a model estimate, can be traced back to what was recorded on the plant floor.
1Ingest
Scheduled exports, file transfers, database views and interfaces where a system offers them. Connections are read-only by design, and every original record is retained unchanged.
2Normalize
Units, lot identifiers, product codes, line names and timestamps are mapped to a site-specific production model, so 24.0 t, 24,000 kg and 52,911 lb become one quantity with one meaning.
3Validate
Checks for receipts without lots, missing closing weights, overlapping batches on one line, implausible tare and negative stock. Failures become visible data-quality findings and are never silently repaired.
4Attribute
Each movement is assigned to a production run. Where a continuous process has no clean batch boundary, attribution uses transfer events and time windows, and records the assumption it relied on.
What the layer reads
- Production records
- Batch start and stop, line, product, planned and reported quantities
- Quality data
- Lab results, soluble solids, moisture, defect counts, hold and release decisions
- ERP exports
- Goods receipts, consumption, production postings, standard costs, sales values
- Manufacturing execution systems
- Order execution, step timing, downtime and operator entries
- Inventory records
- Stock movements, counts, adjustments, byproduct and work-in-progress positions
- Equipment logs, where available
- Temperatures, speeds, flows and alarms that give a run its process context
Bring us the systems you have today.
We can look at how your production, quality and inventory records are kept, and whether they can support this kind of analysis. A technical conversation with your operations and IT teams is often the most useful first step.