The Challenge
A greenfield electronics assembly facility had invested heavily in Industry 4.0: machine connectivity, MES integration, digital work instructions, and real-time OEE dashboards. Compressed air and electricity — the foundation utilities for the entire operation — were managed with analogue gauges, monthly meter readings, and paper service logs.
The gap between digital production and analogue utilities created a specific operational problem: when production KPIs deteriorated, diagnostics started with production data but could not include utility data because it didn't exist in digital form. On three occasions in the plant's first year, production issues eventually traced to compressed air quality or pressure problems were initially investigated as equipment or process issues — wasting investigation time and delaying resolution.
What Changed
Full instrumentation of the utility infrastructure: 42 sensor points across compressed air (flow, pressure, dew point), electricity (line-level sub-metering), and cooling water. Integration with the existing MES dashboard.
Once utilities were in the same digital environment as production, diagnostic capability changed fundamentally. Cycle time variation could be overlaid with pressure data; quality escape rates compared against dew point trends. The three previous root-cause misattributions would have been identified in hours rather than days. The plant also established utility benchmarks — expected consumption per unit for each product family — that became standard KPIs alongside OEE.
Results
utility-production correlation
established as standard KPIs
all traced to utility parameters
analogue infrastructure eliminated
“Industry 4.0 is not complete until utilities are digital. Production data without utility context is incomplete diagnostic information — it shows what happened on the line but not why. When utilities are visible in the same system as production, the full causal chain from energy input to product output becomes traceable. That traceability is what turns utility infrastructure from a maintenance system into a manufacturing intelligence tool.”