Yield is one of the most significant KPIs manufacturers focus on because improving yield has such a positive impact on waste reduction, productivity, profitability, and even customer satisfaction. To improve yield, however, it’s necessary to identify and appropriately address the source of process nonconformities, optimize production processes, and adopt a culture of continuous improvement to sustain yield improvements over time. This requires continuous analysis of data from different factory tools and systems. A Statistical Process Control (SPC) system can help minimize process nonconformities by identifying problems early, recommending corrective and preventive actions, and providing tangible clues for process improvement.
SmartFactory SPC3D processes parameters in real-time and analyzes production data to identify process nonconformities. It does so by validating whether specifications are within limits, identifying suspect processing trends, and warns the staff when a process nonconformity is identified. You can think of this as an “early warning system” for process nonconformities that not only identifies problems, but also identifies opportunities to improve quality and reduce variability.
Additionally, SmartFactory SPC3D helps foster a culture of continuous improvement by providing vital feedback about production processes to the manufacturing staff in real-time.
Adopting an SPC system can automate the arduous analysis required to continuously evaluate process performance and make recommendations for process improvements that increase yield. Ultimately, improving yield can bring significant improvements in quality, waste reduction, and profitability.
