Digital Transformation Overall Solution

The loading process relies only on manual visual verification, key information such as reel model, feeder position, and material specifications lacks system error-proofing verification, wrong material and mixed material problems occur frequently, easily causing batch placement errors and product scrap. At the same time, continuation records use handwritten paper documents, information is lagging, prone to errors and inefficient, difficult to meet lean control requirements.

Material batch information cannot be accurately traced, key information such as equipment inspection data, tooling history, and process quality records cannot be effectively associated and bound with product barcodes, resulting in incomplete data linkage throughout the product manufacturing cycle, making it difficult to achieve reverse full-process traceability.

Difficult to find line-side materials, FIFO relies only on employee self-discipline, difficult to effectively implement. Placement machine material remaining quantity relies on manual inspection, material shortage warnings are not timely, causing frequent line stoppages waiting for materials and interrupted feeding. Tail materials have no unified identification and traceability management after unpacking, randomly stacked, cannot verify material batches and available quantities before reuse, posing risks of wrong materials, expiration, and quality.

Key equipment such as printers, SPI, placement machines, reflow ovens, AOI, and programmers are not networked and integrated, equipment operation status cannot be monitored in real-time, equipment process parameters and inspection data cannot be automatically collected and bound with production products for traceability, overall in a data island state.

The warming time and mixing operations of solder paste and red glue rely only on manual records and experience control, opening time, usage process, and validity period cannot be tracked throughout, FIFO is difficult to implement standardly, significant quality control loopholes and batch quality risks exist on-site.

Production tooling has not established a unique identity identification system, key tooling such as stencils, squeegees, and feeders lack full lifecycle management, service life has no quantitative monitoring, maintenance plans rely entirely on human memory, resulting in inability to及时发现 and handle issues such as tooling dirt blockage, wear and tear, and deformation deviation, easily causing batch quality abnormalities such as poor printing, placement deviation, and welding defects.

Chip programming relies only on manual selection and calling of programs, without system verification and version control mechanisms, easily resulting in wrong program selection and wrong version usage, low operational efficiency and high risk, while no relevant records are available, unable to form effective traceability management.

Moisture-sensitive devices (MSD) exposure time after unpacking, baking records, and life validity period all rely on manual registration management, lacking automatic system timing and overtime warnings, easily causing device moisture failure due to improper control, leading to poor welding and batch quality problems.

Workshop temperature and humidity rely on manual periodic spot checks and records, without real-time data collection, curve records, and out-of-limit alarms. Temperature and humidity fluctuations cannot be intervened in time, directly affecting solder paste viscosity and printing quality, red glue curing characteristics, and moisture-sensitive component moisture risks, while also easily causing electrode oxidation, component electrostatic breakdown, and poor reflow welding, forming continuous hidden risks to production stability and product yield.