ETQ, a Hexagon business, recently launched the ETQ Reliance® predictive quality analytics solution, bringing Artificial Intelligence-driven analytics to its quality management system (QMS.) ETQ Reliance allows automated early detection and proactive resolution to prevent manufacturing problems, limit production variation, speed decision-making, deliver prescriptive solutions to supply chain issues, and boost overall quality.
By extending proactive quality management to the shop floor, manufacturing organizations can boost quality and innovation across the manufacturing process – enabling product optimizations and continuous improvement.
ETQ partnered with Acerta Analytics, a developer of predictive quality analytics software for manufacturers, to integrate Acerta LinePulse, an AI- and machine learning-based solution, with ETQ Reliance. The partnership will allow ETQ and Acerta customers to benefit from a predictive, closed-loop quality system that combines real-time data analysis with advanced quality workflows.
The ETQ Reliance Quality Analytics solution takes in shop-floor data via the Acerta LinePulse application. Acerta LinePulse predicts the likelihood of upcoming defects and integrates with the ETQ Reliance QMS to accelerate root-cause analysis and speed-to-resolution while also improving predictive algorithms. This early detection and intervention can make a positive impact on critical production KPIs, such as scrap and rework, “first time right,” stable production and others.
The solution brings actionable AI to the shop floor by sending early warning alerts when a manufacturing process is at risk of producing defects. These alerts create a quality event in ETQ Reliance so that users can investigate the nature of the alert, determine the resolution to resolve the issue, and return feedback to Acerta LinePulse. By keeping humans in the loop with AI-driven predictive capabilities, customers can reduce field service costs, customer complaints, safety incidents, warranty claims and recalls downstream, while helping product designers, manufacturing engineers and supply chain managers ensure better inputs to the manufacturing process. By reducing the time, it takes to address manufacturing challenges, companies can reduce the number of potential escapes and limit their recall exposure.
The feedback sent from ETQ Reliance to Acerta LinePulse causes the predictive algorithms to continuously learn and become more effective and accurate over time. Consistently improving predictions using real-time data help make better decisions faster. Acerta LinePulse also brings additional features that improve shop-floor decision making, such as automated root-cause analysis and advanced capability monitoring.
Learn more at www.ETQ.com