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Solving plant challenges · Injection molding

Find what changed when the same recipe yields different quality.

Short shots or dimensional variations recur despite the same settings. Without resin, mold and actual process records together, adjustments rely on trial and error.

Injection molding

Data connections, decision rules and approved actions are designed for your equipment and operating criteria.

The production flow

Prepare resin → Inject & cool → Remove & inspect

Connect data. Reason. Act with approval.

  1. 01NAZARE Connect data
  2. 02NAZARE · Ontology Capture operating criteria
  3. 03NAVIS Assess causes & actions
  4. 04NAVIS → NAZARE → PLC Execute with approval
  5. 05NAZARE + NAVIS Verify results

01 · NAZARE

Connect data

Collect actual temperatures, pressures and cycles with resin lots, mold IDs, setting history and cavity-level inspections.

NAZAREInjection molding · Equipment signal analysis

02 · NAZARE · Ontology

Capture operating criteria

Capture mold–cavity–product relationships, approved operating ranges, resin-change checks and defect-specific response sequences.

NAZAREInjection molding · Manufacturing ontology

03 · NAVIS

Assess causes & actions

NAVIS compares current process values with good-production periods. It proposes checks with evidence; a separately developed quality model can be added if needed.

  • Execute with approval — The supervisor approves a change within validated ranges. Where control integration is verified, NAZARE requests the change via the PLC under machine safety conditions.
  • Verify results — Check actual values and product quality after the change, retaining the result and setting history together.
NAVISInjection molding · Investigation & approval plan

↶ Keep verified outcomes and actions in NAZARE to inform the next decision.

Machine safety circuits, interlocks and operating procedures remain in place. Control requires approval and verified communication, permissions and equipment state. ML models can be added under a separate scope.

What operators and managers can assess

Operators

See why an adjustment is proposed and its allowed range.

Management & production leads

Review defects and changes in one production history.

Measures to validate in a pilot

  • Time to stable production
  • Number of adjustments
  • Rejects by cavity

Establish a baseline and compare under matching product and operating conditions. Outcomes depend on data quality and site conditions.

What we confirm first

Confirm available signals, product and lot links, operating criteria, approvers and permitted controls. Ingkle experts structure know-how as ontology in NAZARE using field interviews and proprietary tools.

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