Textile quality and product traceability system

The quality team checks the dimensions, color, sewing and finish of the products. Non-conformities are linked to the batch of material and the order options to be repaired.

Sew, dimension, color and finish checks are not always associated with a specific variant, batch of material and agreed acceptance criteria. It is difficult to determine the amount affected and adjust the work in time before the entire order is produced.

How the solution works

  1. The material and variant are linked to the agreed control plan and the approved sample.
  2. Verification records the amount assessed, the result, and the relevant links between the material or operation.
  3. Nonconformity limits the defined part of the order and is passed to the assessor in charge.
  4. Staff perform repairs and rechecks, recording the quantity actually handled and the confirmed result.

Key challenges

  • Quality control is disconnected from production
  • Limited batch and component traceability

Solution capabilities

Relationship between the approved sample and the criterion

Control refers to the variant applied, the allowable limit, and the sample or specification version.

Genealogy of actual material

A roll or batch of material is linked to production groups where these facts are recorded.

Products and parts for inspection

The result indicates the quantity checked and the basis for the selection without pretending to check each product.

Completion of non-compliance

Correction, selection, write-off or release has an assessor and a confirmed result.

Business context

Quality control is disconnected from production
Sew, dimension, color and finish checks are not always associated with a specific variant, batch of material and agreed acceptance criteria. It is difficult to determine the amount affected and adjust the work in time before the entire order is produced.
Limited batch and component traceability
It is not always possible to quickly restore all the connection between the model, color and size combination, the lecals, the technological card, the composition of materials, the supplier and the actual manufacturing operations. It is unclear which products were affected by the mismatch of the fabric or dyeing batch and where they are transmitted.
The buyer gets consistent product quality
It is important to the brand that the entire series matches the matched size, color and sewing quality. Once linked to the model and the batch of material, it is easier to determine the extent of the discrepancy. The supplier can more specifically respond to the claim and prevent repetition of the same defect in the next order.

Core features

  • Relationship between the approved sample and the criterion
  • Genealogy of actual material
  • Products and parts for inspection
  • Completion of non-compliance

Key integrations

Textile and apparel manufacturing execution system (MES)
Actual materials, variants, group transfer and repair progress.
Product Data Management
The model, sample and control criteria have been adopted.
Warehouse and procurement processes
Obtaining rolls or lots and accepting a quality restriction.
Sources of measurement or laboratory
Tests have been carried out on specific productions with a relationship between method and batch.

Potential impact (%)

The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.

Time of detection of non-compliance affected

12–36%Decreasing

This illustrative scenario assumes that 30-60% of manual data entry and handover work can be addressed. That share is assumed to fall by 40-60%. Company data is needed to verify both the addressable workload and the resulting change.

The search work and the remaining unexplained volume are measured.

Cost of re-repair due to unclear acceptance criterion

3–14%Decreasing

This illustrative scenario assumes that 15-35% of cost variance can be explained and addressed using the measures described. That share is assumed to fall by 20-40%. Company data is needed to verify both the addressable share and the resulting change.

Summation is made due to the unclear cost of repeating the previously valid criterion. The new customer requirement is marked separately.

Conditional calculation scenarios. The assumptions have not been validated against client measurements.

When this solution is relevant

  • At batch screening, it is unclear what colors, sizes and how many products have actually been checked.
  • In the non-compliance study, the actual material used is replaced by a plan composition assumption.

Implementation requirements

Quality data is linked to rolls, dyeing lots and sizes of ordered products. There is a consensus on how many and which products are checked and for which quantity the result is applied. This allows to identify the affected production and select the next action.

Further development options

  • Acceptance of repairs by the subcontractor
  • Relation of the customer claim received to the batch checked

Frequently asked questions

Adapting the solution to your business