In volume production, repeat batches must match the first article in appearance and dimensions. We maintain this through process control and recorded data.
Coating quality is controlled by equipment: computer-controlled powder output and voltage, ovens that measure actual part temperature, and spectrophotometers that measure colour.
Parts are not transported between suppliers, and responsibility for the finished part sits with one plant. Engineering feedback between processes can be handled within hours.
Production is scheduled and recorded in ERP, and every batch carries its lot number and inspection data. If a customer audit asks about a particular production date, the answer comes from these records.
Our goal is to deliver parts on the agreed date, to the agreed specification, with the required documentation included.
FREQUENTLY ASKED QUESTIONS
Wherever a result depends on a person's eye or feel, it drifts between operators and shifts. We push those decisions into equipment instead: computer-controlled powder output and voltage, ovens that read actual part temperature, and spectrophotometers that measure colour rather than technicians describing it.
Every batch is scheduled in our ERP and carries its own lot number and inspection data, together with a thickness curve, ΔE colour reading, gloss reading and acid-test result. When an audit asks what happened on a specific date, the answer is a record, not a recollection.
Every handover between separate factories adds transport time, a queue, and a point where responsibility gets diffused. Keeping all three processes on one site removes those handovers, and engineering feedback between processes takes hours rather than weeks.
IATF 16949:2016, ISO 9001:2015 and ISO 14001:2015, plus an internal CSR assessment. Production control, measurement and documentation are run in-house rather than outsourced.
The goal is a supplier a customer stops worrying about: parts that arrive on the promised date, to the agreed specification, with the paperwork already attached. That comes from continuing to move quality decisions into equipment and data rather than relying on individual judgement.