Anonymous Automotive Glass Manufacturer

A global windshield manufacturer acquired a U.S. fabricated-glass plant to meet rising post-recession automotive demand, inheriting a facility that had seen no capital investment in over 20 years. Production lines were patched together with outdated equipment, and data collection relied on manual processes with no direct engineer access to production systems. Scrap across the windshield process — cutting, washing, painting, heating, trimming, and packing — cost the company over $1 million per month. Without reliable data, engineers depended on tribal knowledge and inconsistent reporting, making it nearly impossible to identify root causes quickly. High staff turnover compounded the problem by eroding institutional knowledge.

The manufacturer partnered with Rockwell Automation to replace its homegrown data system with a staged manufacturing intelligence platform built on FactoryTalk Metrics and FactoryTalk VantagePoint software. Deployed across more than 20 work cells per production line, FactoryTalk Metrics provided real-time OEE, production counts, and yield data accessible from any HMI, browser, desktop, or mobile device. In the second stage, FactoryTalk VantagePoint enabled role-specific reporting at a self-service station on the plant floor — allowing engineers to pull two-hour reports tailored to their production area without requesting data from project leads. Automated email and text notifications were configured to alert on-site and off-site staff to production issues, reducing mean time to repair. The phased, three-year rollout avoided custom code to prevent reverting to another unmaintainable homegrown solution.

The manufacturing intelligence system delivered measurable impact within the first month of deployment, identifying a significant production issue that recovered 90% of the system's implementation cost almost immediately. Over time, production insights drove a 30% reduction in scrap rate — a material improvement given monthly scrap costs exceeding $1 million.

• 30% scrap reduction across windshield production lines
• 90% cost payback achieved within the first month of operation
• 90% reduction in data-pull requests to project leads, freeing engineers for direct analysis
• Faster root-cause identification enabled section-by-section downtime reduction
• The team set a target for a further 30% scrap reduction as a next-phase goal

• Avoid homegrown data systems — custom-coded solutions accumulate technical debt and collapse when staff turns over; standardized platforms with vendor support scale more reliably.
• Stage deployments to prove value early — identifying a major issue within the first month built internal confidence and justified further investment.
• Role-specific reporting drives adoption — giving plant-floor engineers data scoped to their area and shift reduces friction and increases daily use.
• Quantify the cost of scrap upfront — at $1M+/month exposure, the business case for a manufacturing intelligence system is straightforward to make.
• Integrate notifications into operational workflows — push alerts to on-site and off-site staff to close the loop between data and corrective action.