PathWave Manufacturing Analytics
Build it better with actionable insights with Industry 4.0 Big Data Advanced Analytics
Configuration
CancelHighlights
Combining test and measurement expertise with data science and big data engineering, the PathWave Manufacturing Analytics platform provides actionable insights for every level in your organization in the smart factory of the future. Improve yield, lower retest and handling, and lower the cost of poor quality with big data advanced analytics that really works. Accelerate your Return on Investment and business outcomes with unique, innovative analytics.
- View your factory performance in terms of Overall Operating Efficiency (OEE), yield, first pass yield, retest, volume, etc. with extensive drilldowns and filters.
- Save the workspace and see your own personalized dashboard on demand, real-time from anywhere.
- Use no-code specially curated diagnostic tools and visualizations for all levels of operators, technicians and engineers.
- Root cause issues with just a few clicks, compare between multiple tests, systems, fixtures, parts, probes and more.
- Predict potential quality issues in real-time manufacturing with optimized machine learning anomaly detection models.
- Get only “high severity scored” alerts. Take action to prevent catastrophe and mitigate the risks of poor quality without alert fatigue!
- Prescribe real-time adaptive test limits with optimized dynamic part averaging testing.
- Leverage transformed data and insights for horizontal and vertical systems to optimize processes.
Improve Insights
Achieving top-line revenue with the finest board quality and the highest possible production throughput is the ultimate manufacturing goal. High retest rates can slow production and negatively impact time-to-market for EMS providers. See how PathWave Manufacturing Analytics, an Industry 4.0 data analytics solution, helped one global EMS company improve their time-to-market.
Improve Yield And Root Cause Analysis
Today’s vehicles host a large network of complex and connected devices, each one optimized for power efficiency, communications, data processing, and latency. As a result, electronic manufacturers now have more data to process, analyze, and interpret; making big data analytics a necessity on the manufacturing floor.
With the increasing complexity in functional test failures or scrap issues, it is critical to identify the root causes to maintain or improve production yields. See how PathWave Manufacturing Analytics helped a major automotive electronics manufacturer identify issues in RCA to achieve yield improvements.
Big Data: Drowning In Alerts
Big data analytics can provide big returns, but at the same time it will produce large amounts of alerts. When there are almost hundred of alerts generated and sent every day, it will be overwhelming and difficult for users to disposition them in a timely manner. In fact, alert fatigue has become a challenge to overcome in electronics manufacturing industries and it is something not usually addressed up front when architecting the solution.
PMA’s anomaly alert scoring model combines domain knowledge in Test & Measurement with data science to highlight only the most severe alerts.
Key Specifications
Global 360º view of operation and asset management
Automated real-time monitoring and anomaly detection
Industry 4.0 ready
Event notification via email, SMS or mobile messaging
On-premise or cloud-based software environment
Extend The Capabilities For Your PathWave Manufacturing Analytics
Software Enterprise Agreement
Deploy a Keysight Software Enterprise Agreement to capture continuous value for your organization. Enterprise Agreements deliver flexible, cost-effective access to Keysight’s broad software portfolio through a re-mixable license pool.
Featured Resources
Want help or have questions?
