PM Templates
Reusable Procedures
Build a PM template once — tasks, parts, labor, safety steps, drawings, lockout/tagout — and apply it to many assets. Update the template, every asset's next PM picks up the change.
Frequency, Meter, and Condition-Based PM with Auto-Generated Work Orders
Synesis CMMS Preventive Maintenance moves your operation from reactive to predictive. Define PM templates with tasks, parts, labor, and safety procedures. Schedule by calendar (weekly, monthly, quarterly), by meter (every 500 hours, every 10,000 cycles), or by condition (vibration threshold, oil analysis result). The system auto-generates work orders at the right time, dispatches to the right technicians, and tracks PM compliance against the asset register.
AI-powered predictive maintenance is built in. The system analyzes maintenance history, downtime patterns, work-order outcomes, and sensor data (where available) to identify assets trending toward failure. Predictive PMs are recommended automatically, prioritized by predicted failure window and business impact. Over time the AI gets sharper as it learns from your assets and your operating environment.
Reusable Procedures
Build a PM template once — tasks, parts, labor, safety steps, drawings, lockout/tagout — and apply it to many assets. Update the template, every asset's next PM picks up the change.
Calendar-Driven
Daily, weekly, monthly, quarterly, semi-annual, annual. Shift the next-due date based on completion timing or fixed schedule.
Hours, Cycles, Miles
Trigger PM at every X operating hours, machine cycles, or production units. Meter readings captured automatically from MES or manually from operators.
Sensor & Inspection Driven
Trigger PM when a measured value crosses a threshold — vibration, oil analysis, temperature, pressure. Connect to existing sensor systems or capture during inspections.
Failure Risk Scoring
Machine learning across history, downtime, and sensors identifies assets trending toward failure. Predictive PM recommended automatically, prioritized by impact.
On-Time PM Performance
PM compliance dashboard at site, area, line, and asset level. Visualize on-time, late, missed PMs. Drive accountability with role-based scorecards.
No Manual Scheduling
PM work orders auto-generated based on the schedule, dispatched to the right technicians, with the right parts pre-reserved and the right safety steps attached.
Right-Sized Frequencies
AI recommends frequency adjustments based on actual reliability data. Stop over-maintaining low-criticality assets. Stop under-maintaining critical ones.
Condition-based PM with sensor monitoring + frequency-based safety nets. Predictive AI continuously refines the schedule.
Frequency or meter-based PM driven by manufacturer recommendations and historical reliability data.
Calibration-tied PM cycles linked to Synesis QMS. Out-of-tolerance triggers a quality investigation, not just a recalibration.
Calendar-based PM for HVAC, compressed air, water, electrical. Compliance-driven scheduling for safety and regulatory requirements.
Preventive maintenance software schedules and tracks planned maintenance so equipment is serviced on a defined interval instead of after it breaks. Synesis CMMS preventive maintenance software builds reusable PM templates with step-by-step procedures, parts, and labor estimates, then auto-generates the work order when each PM comes due. Nothing depends on someone remembering to raise the job, and on-time PM compliance is measured rather than assumed.
Frequency-based scheduling triggers a PM on the calendar, such as every 90 days, and suits assets that degrade with time. Meter-based scheduling triggers on accumulated usage such as run hours, cycles, or miles, which is more accurate for equipment whose wear tracks utilization rather than the calendar. Condition-based scheduling triggers on a sensor reading or inspection result crossing a threshold, so work happens only when the asset actually needs it. Synesis CMMS supports all three on the same asset register, so each asset class can use the strategy that fits it.
The system scores failure risk from each asset's own history, including work order frequency, downtime events, meter readings, and inspection findings, and surfaces the assets most likely to fail next. That lets maintenance teams move beyond a fixed calendar and right-size PM frequencies, so over-maintained assets stop consuming labor and under-maintained assets get attention before they fail. Predictive scoring supplements the PM schedule rather than replacing it.
Yes. Every PM carries a due date, a completion record, and the procedure that was followed, so on-time PM performance is reported as a KPI and overdue PMs are escalated rather than quietly slipping. That evidence supports ISO 9001, IATF 16949, and AS9100 audits, where the auditor expects to see that equipment maintenance was planned, performed, and recorded. Calibration and inspection records live in the same platform and link back to the quality system.
See how AI-powered predictive maintenance transforms your operation. Schedule a working session with our maintenance engineers.
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