Reducing the Cost of Poor Quality with TrakSYS

In this full-length webinar, Nic Azad moderates a discussion with Dave Ray, Director of Product Advancement at Parsec, exploring how TrakSYS helps manufacturers elevate product quality and reduce the Cost of Poor Quality (COPQ) through connected manufacturing operations.

This session examines why quality management remains a critical focus for global manufacturers, how siloed systems contribute to inefficiency, and how MOM software like TrakSYS unifies operations, quality, and compliance.

Key topics covered:

• Why quality management continues to be essential to competitiveness and profitability.
• Understanding the cost of poor quality (COPQ) and how to measure its impact.
• Common challenges manufacturers face in managing quality across siloed systems.
• The role of real-time data and integrated analytics in proactive quality management.
• How TrakSYS connects quality, operations, and maintenance systems to reduce waste and downtime.

Demo highlights:

• Digitizing forms and inspections with TrakSYS Tasking.
• Performing Statistical Process Control (SPC) with real-time data and configurable decision rules.
• Using workflows to orchestrate quality checks, manage deviations, and automate alerts.
• Demonstrating how TrakSYS integrates operations and quality data for real-time issue detection.
• Leveraging traceability to identify the root causes of defects and manage recalls efficiently.
• Managing CAPA (Corrective and Preventive Actions) directly within TrakSYS to close the feedback loop.

Key takeaways:

• Quality management impacts profitability and brand reputation—TrakSYS helps control both.
• Real-time data and digital workflows enable proactive, rather than reactive, quality management.
• TrakSYS integrates with production systems to provide unified visibility across quality, maintenance, and operations.
• Built-in SPC, CAPA, and traceability tools simplify audits and support continuous improvement.
• Manufacturers can start small and scale TrakSYS functionality across multiple sites and processes.