Dairy Equipment preventive maintenance

Start with the real operating context: duty, environment, consequence of failure, manufacturer guidance and the people who perform the work. A CMMS should preserve that context on the asset and place the relevant steps on each work order. It should not replace engineering judgment or a site-specific risk assessment.

Create a small initial task library, then improve intervals and evidence requirements from actual findings. The same model supports planned inspection, preventive replacement, calibration, lubrication, condition readings and corrective repair. Keep the result attached to the asset so the next decision uses history rather than memory.

• Daily operational parameter monitoring
• Weekly visual inspection and cleaning
• Monthly component inspection
• Quarterly system calibration
• Semi-annual preventive maintenance
• Annual certification and testing
• Lubrication and adjustment
• Safety system verification

These are planning prompts from the legacy content dataset, not prescribed intervals. Use the manufacturer’s instructions, actual duty, condition and risk.

• Component wear from regular operation
• Calibration drift over time
• Seal or gasket degradation
• Control system malfunctions

Each record should state which asset and site were involved, the operating symptom, priority, responsible person, procedure version, safety context, readings, evidence, parts used, time spent, failure code when relevant, specific root cause, action taken and verification result. That is enough detail to support the next technician, a planner and a reliability review without forcing every person through the same interface.

PreventiveHQ snapshots procedure steps onto the work order and stops closure when required steps or close-out evidence are missing. It reports unavailable metrics when no trustworthy denominator exists. Those controls are more valuable than a polished chart built from “done” notes.