Traceability is a vital component of any quality management strategy, and its importance to manufacturing is specified in the ISO 9000:2015 standard. The standard defines traceability as the ability to trace an object’s history, application, or location. The historical data that is important in electronics manufacturing includes the origin of electronic components, processing history, and the distribution and location of the component after delivery to the end-user. Material traceability has ceased to be a luxury. It has become a necessity because of stringent quality requirements and the need to optimize crisis (failure) management in times of electronic product recall.
Material traceability in manufacturing cannot be business as usual. An internal survey of the available traceability systems revealed that most of the available solutions do not meet the requirements set by the ISO standard. None of them provide traceability data at the component level, and it is challenging for the data generated to offer an optimized cost-benefit.
Cybord raised the bar of traceability system by incorporating artificial intelligence, deep visual inspection and big data analytics into a single product. The result is a system that provides visual traceability at the component level. While other solutions on the market capture data such as part number, supplier, lot number, reference designator and machine/tool that placed the component, Cybord SMT also uniquely identifies and inspects every component through an AI-generated digital identity. One of the enormous benefits of this is optimized product recall and simplified return merchandise authorization (RMA).
A reel containing components from 4 different lots. With visual traceability, recall criteria is easily optimized to include units containing components from one specific lot instead of the entire reel population
When placing the component on the printed circuit board, the high-resolution image captured by the SMT pick and place camera is collected by the Cybord SMT to create a digital twin for the component. If the need for an electronic product recall arises, optimized recall criteria can be generated by analyzing the traceability data obtained during the manufacturing process. Without component level traceability data, a whole lot or batch of goods (most of which might be defect-free) will have to be recalled, a non-optimized solution. For example, with Cybord on board, if a component reel contained genuine components of mixed lots and components from lot A begin to fail, there may not be a need to recall every unit whose assembly contains a component from that reel. Visual traceability points at the units that host components of the problematic lot only.
Cybord SMT does more than traceability. With a massive fingerprint database of electronic components from authentic manufactures worldwide, it can identify defective, refurbished, reprogrammed and counterfeit components by their distinct visual signature in less than 100ms. It is estimated that up to to 10 percent of all electronic components on the market are counterfeits. With cybord SMT, electronic manufacturing service providers can benefit from low-risk multisourcing. Cybord SMT is the cornerstone needed by EMS providers that want to build a resilient supply chain.
The decentralized nature of electronic manufacturing can make quality assurance challenging to accomplish. Cybord’s ease of integration with existing MES solutions simplifies the process of monitoring multiple manufacturer sites regardless of geographical location. Companies can manufacture with confidence knowing full well that counterfeit components will not find their way into their products.
Cybord SMT is a complete solution that integrates with existing manufacturing equipment to visually analyze and quantify each assembled component’s provenance, authenticity, quality and security, and the entire assembled board. Tap into low-risk multisourcing and decentralized manufacturing using AI-based real-time quality assurance. Simplify monitoring, regulatory compliance, RMA, and product recall.