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Swedish Technology helps manufacturers connect production traceability, inspection, equipment visibility and plant data. RFID, computer vision, IoT, RTLS and analytics can be selected around a specific workflow, then integrated with MES, ERP, WMS or maintenance systems where supported interfaces are available.

Typical starting points include work-in-progress that is difficult to trace, quality evidence recorded in separate tools, shared equipment that moves between lines, or machine and maintenance data that do not reach the people responsible for action. The assessment maps the process, data owner, operating conditions and systems before selecting components.

Traceability from the line to the business system

  • Work in progress: associate products, batches or containers with agreed process steps using RFID, barcode or machine events.
  • Quality inspection: capture inspection results and supporting images, with review and disposition rules defined by the manufacturer.
  • Asset visibility: use RFID at checkpoints or RTLS where live location of tools and equipment is needed.
  • Machine and facility data: connect selected IoT telemetry to dashboards and maintenance workflows.
  • Computer vision: evaluate a narrow visual inspection or safety use case under real line speed, lighting and camera conditions.

Architecture and OT boundaries

Readers, cameras, sensors and machines feed an edge or integration layer. Events are normalized and passed to the relevant MES, ERP, WMS, GIS or CMMS interface, with clear rules for duplicates, corrections and offline recovery. Keep production network boundaries and change-control procedures in the design. Do not send control commands to machinery unless the interface, risk review and authorization have been explicitly established.

Integration depends on the plant’s versions, licenses, network policy and available APIs or middleware. The project should document identifiers, event meaning, data direction, audit records and responsibility for exceptions before it builds a connector.

Pilot and rollout

  1. Select one product family, line, asset group or inspection task.
  2. Record the current process and baseline, including edge cases and manual workarounds.
  3. Survey RF, lighting, machine access, network zones and shift conditions.
  4. Agree pass/fail scenarios for identification, inspection, event routing and recovery.
  5. Run a pilot with operators, quality, maintenance, IT and OT stakeholders.
  6. Review evidence, update work instructions and scale after acceptance.

Useful measures include identification or inspection performance, event latency, integration reconciliation, exception handling and completion of user-acceptance scenarios. Set targets for the real line and product mix; avoid relying on a single laboratory or vendor specification.

Common questions

Can RFID support work-in-progress tracking?

It can record identity at selected process points when tag, material, read zone and workflow are suitable. A pilot should confirm reads and transaction logic on the actual line.

Can the system integrate with MES or ERP?

Integration can be scoped when the system provides a supported interface. Define master data, event ownership, retry behavior and reconciliation with the plant team.

Can computer vision inspect products at production speed?

That depends on the defect, image quality, line speed and camera setup. Test representative samples and operating conditions before setting acceptance limits.

How do we avoid disrupting production?

Use a bounded pilot, follow site access and change controls, isolate integrations as agreed with OT, and schedule installation and testing with the production owner.

Related solutions

See computer vision, RFID, RTLS, IoT and ERP integration. Plan a manufacturing assessment.