Through-Process Quality Control

Ensure consistent quality and avoid costly defects with the Through-Process Quality Control (TPQC) know-how-based software.  By taking a centralized approach to quality, TPQC provides real-time visibility and actionable insights across the steel production.

Enhanced root cause analysis

Root cause analysis is no longer limited to a current production step. High-resolution data from other production steps can be used, rather than relying on aggregated average data revealing defect patterns that would otherwise be invisible to be identified.

Proactive quality management

Quality issues can be identified before they become significant problems. Digital assistants offer recommendations to address alarms and suggest corrective measures. The system automates quality decisions, manages deviations, and communicates issues to higher-level systems (Level 3 and Level 4).

Leverages predictive models and AI

Improve process control and elevate product quality. With predictive analytics and AI-powered insights, TPQC forward-projects high-resolution data that can be used as input for predictive or prescriptive models. Forecast of further alarms is based on real-time property prediction at intermediate production steps.

We deliver extensive technical expertise

Since 2014, more than 25 Steel Producers have implemented TPQC  covering over 80 production units from multiples OEMs.

Benefits of Through-Process Quality Control (TPQC)

With TPQC, steel producers can achieve transformative results across their operations. Key benefits include:

• Comprehensive data integration: collects and analyzes data from every production stage, creating a detailed product genealogy
• Real-time defect detection: identifies defects early in the production process, enabling immediate corrective actions
• Predictive and prescriptive analytics: forecasts production outcomes and optimizes process parameters for higher quality and efficiency
• Enhanced visualization tools: heatmaps and dashboards provide clear insights into production data, enabling better decision-making
• Statistical Process Control (SPC): monitors process variations, identifies root causes, and ensures consistent quality
• Improved process stability: reduces downgrading, compensation costs, and risks in serial production
• Compliance with industry standards: event logs and alarms ensure adherence to certifications and quality requirements
• Virtual product development: simulates production changes offline to anticipate impacts and optimize processes