RFID production & WIP tracking that keeps work moving.

RFID production and work-in-progress (WIP) tracking uses tagged parts, batches or carriers and configured readers to record progress through manufacturing checkpoints. The software links those events to production records, showing the last recorded stage, elapsed time and exceptions. It follows unfinished work rather than only counting goods in storage.

First associate a tag with the item, batch or carrier being tracked. Map reader checkpoints to stages such as staging, assembly, inspection and packing. When a tag is detected, a configured workflow links the event to the production record. Checkpoint tracking shows recorded detections; continuous positioning between readers requires a suitable location-system deployment.

Either approach may be appropriate. Item-level tags identify individual units; a tagged tote, pallet or fixture identifies the carrier. Carrier-based tracking depends on a maintained association with its contents. When parts are removed, split, combined or transferred, update that association. Reading one carrier tag does not independently count every part inside it.

Time-stamped stage events can reveal how long a batch has remained at a checkpoint or stage. A configured threshold can flag work for review when it stays longer than expected. Stage dwell time can include waiting, processing and pauses; machine signals or explicit start and finish events are needed to distinguish those intervals reliably.

No. A read confirms that a tag was detected at a configured point. Completion depends on the production rule, operator confirmation, machine event or inspection result defined for that operation. Keep a physical movement event separate from an approved completion, quality release or inventory posting.

They can be included in a scoped workflow that links RFID events with the hold and route information supplied by your quality process. Define the hold source, permitted next step, review owner and release authority during implementation. An unexpected movement can request review; RFID detection itself does not inspect a product or approve its release.

RFID events provide a movement history for identified items or carriers. Full product genealogy also needs recorded links between input materials, batches, outputs and any split, merge or rework transactions. The detail available depends on the data captured by your production and quality systems. Agree those relationships before presenting a history as complete genealogy.

RFID Tracks supports configured business-system integrations. For a manufacturing execution system (MES), define the available interface, production-order and batch identifiers, stage codes, quantities and update rules. Confirm each connection during scoping. RFID supplies capture events; your ERP or MES can remain responsible for planning, execution control and approved transactions.

Fixed readers suit repeatable station or zone handoffs where tagged work regularly passes a defined point. Handhelds support counts, searches and exception checks. A hybrid setup can combine both. Choose the hardware around the actual route, available space, tag orientation and required capture behavior, then test it on the line.

The tag and mounting method must suit the production environment. Metal surfaces, temperature exposure, fluids, cleaning and physical impacts can affect the chosen hardware. Test representative carriers or parts under normal operating conditions. Where direct tagging is unsuitable, assess a protected tag position, a reusable carrier or a different capture method.

A missing read leaves a gap that should be investigated rather than silently treated as completed production. Review the physical item, the tag association and the reader state. During the pilot, confirm how the selected devices and integration handle buffering, retrying updates and reconciliation; do not assume every device supports offline capture.

Choose one production route and provide its stages, sample parts or carriers, batch and order records, and a common delay or rework scenario. Identify the systems that own completion and quality decisions. Test tag capture, exception handling and reconciliation, then compare manual update effort, search time and stage visibility with the agreed starting point.