Our Technology

Drive down your cost of poor quality by harnessing the power of machine learning and artificial intelligence.
Our Technology
Drive down your cost of poor quality by harnessing the power of machine learning and artificial intelligence.
Our Technology

Improvement Through Innovation

At Juran, we effectively combine expert consultancy and training with the very latest technology, equipping your organization with the tools to deliver better results.

Our Defect Detection and Defect Analysis products use machine learning and artificial intelligence (AI) to generate precise data in real-time, allowing engineers to identify and address problems before they escalate.

Incorporating our technology solutions into your organization will decrease the number of “false alarms” that result from manual data monitoring, while helping you identify any defects ahead of production.

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Solving Problems

Eliminating the Cost of Defects

Our solutions are designed to address the commons problems faced by quality teams in organizations worldwide:

Inexorable Data

Approximately 2.5 million terabytes of data is produced everyday, but only about 1% of the data produced by manufacturing organizations is used. The only tools that engineers have to analyze this data are spreadsheets and basic statistical tools.

High Cost of Poor Quality

15% to 30% of gross revenue lost is related to chronic waste and inefficiencies, with 1% of defects accounting for $17.5m in lost profits for mid-size manufacturing facilities.

“Fire Fighting” Reactive Process Control

Engineers solve problems after they happen. This means defective products are still running in line while a problem is being solved, increasing the cost of poor quality (COPQ). Across all industries, an estimated $345 billion is currently being lost to COPQ.

Manual Monitoring & Lack of Skills

Monitoring data is manual and full of false alarms, and a lack of capability means it is difficult for line personnel to identify which are the true and false alarms.

Our Solutions

Defect Detection

Key features:

  • Machine learning-based detection
  • 80% more accurate than any existing defect detection software
  • Self learns from manufacturing data and improves over time
  • Various input data sources

 

Outcomes:

  • Up to 70% reduction in false positives
  • 25% to 40% reduction in labor spent for appraisal & preventative measures
  • Higher defect classification accuracy
  • Stable and more reliable quality control processes
  • “Fire fighting” becomes a thing of the past
Our Solutions

Defect Analysis

Key features:

  • Automated & real-time defect analysis
  • Enables engineers to visualize defect trends
  • Automatically cleans, organizes, and augments data

 

Outcomes:

  • 35% to 50% reduction in quality and engineering time spent collecting, cleaning, and analyzing data
  • 50-75% reduction in COPQ
  • 15% to 30% increase in sales revenue
  • Common platform for visibility and traceability

 

For pricing details, please complete the following form or contact mmuller@juran.com.

Transform Your Business

To enquire about our defect detection and analysis products, please provide your details below and we will be in touch.