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For one international manufacturer of agricultural machinery, it took a head-to-head trial to prove it made good business sense to replace an unreliable third-party leak testing platform that its quality team couldn’t trust. Read the case study to learn more.

• Resources
• Case Studies
• Contain Defects
• Improve Quality
• Off-Highway Vehicles
• Leak Test

Despite understanding the value of production data and making an effort to collect it, a major international manufacturer of agricultural machinery lacked the tools to retrieve and analyze its data to quickly trace root cause when quality issues halted production. Read the case study to learn more.

• Resources
• Case Studies
• QualityWorX Data Collection
• Off-Highway Vehicles
• Speed Up Runoff
• Increase Production
• Optimize Test Stations
• Industrial Analytics

One of the world’s largest automotive OEM’s transmission assembly line was experiencing a bottleneck at its end-of-line leak test stations. Learn how to QualityWorX CTS DataHub delivered immediate improvements.

• Resources
• Case Studies
• CTS Products
• Connectors & Gateways
• QualityWorX CTS DataHub
• Increase FTY
• Optimize Test Stations
• Data Management
• Industrial Analytics
• Leak Test

A manufacturer saw benefits in quality and efficiency by replacing manual, paper-based processes with digital data management and analytics. Read the case study.

• Resources
• Application Notes
• Case Studies
• Sciemetric Studio Analytics
• Data Management
• Consolidate Data
• Traceability
• Improve Quality
• Trace Root Cause
• Medical Devices
• Industrial Analytics

Manufacturer adds reliable, automated verification to axle snap ring installation processes, reducing downtime and rework costs during vehicle assembly. Learn how.

• Resources
• Application Notes
• Case Studies
• sigPOD
• Sciemetric Studio Analytics
• Automotive Powertrain
• Axle Manufacturing
• Process Monitoring
• Press-Fit
• Sound & Vibration (NVH)
• Process Monitoring
• Industrial Analytics

End-of-line testing is costly and unreliable. What’s more, it doesn’t generate sufficient data to support advanced analytics. For one leading automotive OEM, a reliance on EoL meant that they weren’t fully realizing the data-driven potential of a connected Industry 4.0 environment. When this customer decided to take a harder look at standardizing quality across its international brands, it intensified testing beyond EoL and, in the process, unleashed a torrent of data that, once properly managed, made improvements they could only have hoped for. Read the case study to learn more.

• Resources
• Case Studies
• QualityWorX Dashboard
• QualityWorX Data Collection
• Sciemetric Studio Analytics
• Automotive Components
• Automotive Powertrain
• Industrial Analytics