A British food ingredient company operating a corn wet-milling plant in the US Midwest faced mounting operational risk from an aging distributed control system (DCS) no longer fit for modern food-grade production demands. Frequent hardware failures consumed engineering resources and kept maintenance teams reactive rather than proactive, with replacement parts becoming increasingly difficult to source. More critically, the legacy system offered no meaningful visibility into control loops or process parameters — a significant liability in wet-milling, where precise control over starch extraction, fermentation, and chemical treatment directly determines yield and compliance. Undetected inefficiencies in ingredient dosing and chemical consumption were quietly generating substantial waste costs with no clear path to diagnosis or correction.
The plant partnered with Rockwell Automation to deploy the PlantPAx Modern DCS, a process-optimized control platform built around integrated IoT and sensor networks that deliver continuous, loop-level visibility across the production environment. The migration used a replace-in-place strategy — swapping out legacy hardware and software within existing panel footprints — so production could continue without a scheduled plant shutdown. Rockwell Automation's PlantPAx library of pre-engineered process objects accelerated design and configuration, reducing the engineering hours typically required to instrument a facility of this complexity. The platform's built-in visualization, trend reporting, and process analysis tools gave operators and engineers real-time insight into loop performance and deviation patterns, replacing guesswork with data-driven process management.
The replace-in-place migration was completed without a single day of unplanned or planned production downtime — a critical outcome for a continuous-process facility where shutdowns carry significant cost. Hardware reliability improved materially, with breakdowns and emergency parts procurement dropping substantially after cutover. Most significantly, the enhanced loop-level visibility enabled the team to identify and correct chronic inefficiencies in ingredient and chemical consumption:
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