4 Steps to Implementing Predictive Quality Analytics in Manufacturing 

The financial burden of product recalls is high, upwards of $50 million to remediate one recall, according to the “ETQ Pulse of Quality in Manufacturing 2024 Survey Report”. 

In today’s complex and dynamic manufacturing environment, relying on reactive measures to fix quality problems is not enough. The power of Predictive Quality Analytics can transform your operations and ensure production that achieves optimal quality. 

Download this guide and discover how Predictive Quality Analytics can help you achieve:

• Collect and Prepare Quality Data: Leverage real-time insights to optimize production processes, allowing quality and manufacturing engineers to make informed choices that accelerate problem-solving to drive success.
  
• Proactively Problem-Solve with Predictive Alerts: Monitoring based on the root cause will allow you to automatically receive predictive alerts if specified conditions arise in the future. 
  
• Improve Efficiency: Reduce cost of poor quality, improve time to market performance and deliver results on Industry 4.0 initiatives to maximize productivity and lower costs.