OEE Software for Process Manufacturing: Continuous Production Monitoring

Key Takeaways: Process manufacturing OEE measurement requires fundamental design differences from discrete manufacturing, continuous throughput measurement, yield loss tracking, and grade change classification that most OEE platforms simply weren't built for. Fabrico's configurable OEE engine handles continuous processes natively, with historian integration for plants that already have OSIsoft PI or similar infrastructure.

See our roundup of production monitoring systems used in this space.

OEE software for process manufacturing, chemicals, food ingredients, pharmaceuticals, oil refining, requires a fundamentally different measurement approach than discrete assembly line OEE.

The key differences that matter:

• No individual parts to count: Process manufacturing measures throughput in kg/hr, liters/hr, or batch completion, not discrete unit counts. OEE performance rate must be calculated from process throughput vs designed throughput rate.
• Quality is continuous, not binary: Off-specification product must be quantified as a percentage of production volume, not a defect count. Transition losses between product grades create a separate quality category that discrete OEE tools don't recognize.
• Planned shutdowns are major events: Refinery turnarounds, chemical plant planned maintenance windows, and seasonal shutdowns represent large planned downtime periods that require special handling to avoid distorting OEE benchmarks.

Fabrico's configurable OEE framework handles the Six Big Losses as they actually manifest in process manufacturing:

• Unplanned shutdowns: Process equipment failures, catalyst deactivation, pump failures, heat exchanger fouling. Fabrico CMMS automatically connects these availability losses to maintenance work orders and root cause tracking.
• Process rate reduction: Running below designed throughput due to equipment degradation, process constraints, or quality-driven slowdowns. Fabrico tracks this as a continuous performance metric, not a discrete event.
• Off-specification product: Product failing quality specifications, measured in kg or liters. Fabrico connects quality rate to maintenance events on the equipment involved.
• Transition losses: Product produced during grade changes that doesn't meet either specification. Fabrico classifies these separately, enabling targeted SMED improvement on the changeover procedures that drive transition volume.
• Yield losses: Conversion efficiency below theoretical yield. A process chemistry metric that Fabrico tracks alongside equipment-driven losses to complete the full OEE picture.

Process plants with existing historian infrastructure (OSIsoft PI, AVEVA, DeltaV) don't need new sensors. Fabrico reads directly from the historian, leveraging years of calibrated process data that's already being collected.

The Fabrico PI integration connects:

• PI process throughput tags → Fabrico OEE performance rate calculation
• PI equipment status tags → Fabrico OEE availability loss classification
• PI quality measurement tags → Fabrico OEE quality rate calculation
• Fabrico CMMS work orders → PI asset event log (bidirectional)

The result: process manufacturers get OEE calculation and CMMS execution from Fabrico, using the sensor infrastructure they've already invested in, without a parallel instrumentation project.

Process manufacturing OEE benchmarks: world-class continuous processes (refining, chemicals) reach 85-95% because changeover is minimal and planned shutdowns are infrequent. Batch processes with cleaning cycles and product changeovers target 65-80%. Fabrico configures the right benchmark for your specific process type.

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