Electronic Component Industry Total Solution

Under multi-variety, small-batch production mode, process routes are complex (including standard, repair, rework). Frequent line changes, highly dependent on operator memory & awareness, lack systematic anti-skip-station & anti-miss-station mechanisms. This leads to frequent human errors such as wrong assembly & missed processes, directly affecting product FPY.

Customers & industry standards require full-lifecycle traceability from key components (e.g., specific springs, contacts) to finished products. Current production information mostly stays at work order batch level; key component serial numbers & process parameters are weakly bound to single products. This makes root cause analysis difficult & quality responsibility unclear when customer complaints occur.

Precision injection molding, stamping, testing equipment & dedicated molds have high asset value, but their inspection, maintenance, lifespan & calibration management rely on offline forms, lacking early warning. Unplanned equipment downtime, mold over-life use or running with faults directly become bottlenecks for capacity & quality improvement.

Materials are of numerous types, including special materials such as silver paste & glue with strict open-time limits. Warehousing operations rely on manual work; FIFO is difficult to implement; material kitting inspection efficiency is low. This often causes production lines waiting for materials or using expired consumables, resulting in production interruptions & batch waste.

Quality data from incoming inspection, in-process inspection, finished product inspection and other links is scattered; exception issue initiation, handling & verification closed-loops rely on offline processes & manual communication. The cycle from problem discovery to improvement implementation is long; similar quality problems continue to occur in production, pushing up quality loss costs.

ERP, SRM and on-site production & warehousing management data are not fully connected; information transfer relies on manual secondary entry. This leads to opaque production progress, warehouse account-reality inconsistency, slow departmental collaboration response, limited overall operational efficiency, & difficult data-driven decision making.