A leading medical device manufacturer serving the rapidly growing aging population faced a capacity crisis: demand was outpacing production output, yet physical facility constraints ruled out adding new lines. The bottleneck was operational — paper-based Device History Records (DHRs) required extensive manual data collection at every production and testing stage, creating compliance delays and slowing product release. Under FDA regulations, every device lot requires a complete, auditable DHR before it can ship. Any gap, error, or missing signature in paper records meant delays and risk of non-compliance. The status quo was directly limiting throughput and creating unnecessary exposure to regulatory risk.
The manufacturer partnered with Rockwell Automation Solution Partner Automated Control Concepts (ACC) to deploy a manufacturing intelligence strategy built on the FactoryTalk software suite. FactoryTalk Historian captured real-time and historical process data directly from production and testing control systems, while FactoryTalk View provided runtime visualization with built-in electronic signature capture for FDA compliance. ACC's proprietary processRecords® software aggregated this data alongside required manual entries to automatically compile a complete electronic DHR for each device lot. FactoryTalk VantagePoint EMI layered on top to deliver role-specific dashboards and real-time operational reports. The system was designed for modularity — additional machines, lines, or production areas could be incorporated without architectural changes. Implementation was carried out by ACC, which handled system design, configuration, integration, and project management.
The shift to electronic DHRs delivered measurable gains across compliance, quality, and productivity. Enforced automated workflows and proactive operator alerts drove a 20% increase in productivity with no increase in plant floor headcount. Equipment efficiency improved by 5% through better furnace utilization, enabled by tighter heat and run-time tolerances identified via manufacturing intelligence data.
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