Maintenance Management System

Predict failures before they stop your production

MSF Maintenance combines preventive schedules with predictive, sensor-based maintenance. Fewer breakdowns, longer machine life, and maintenance work that fits around the production plan.

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Key Features

Predictive maintenanceIoT sensor data (vibration, temperature, energy) predicts failures before they happen.

Preventive schedulesTime- and usage-based maintenance plans generated and tracked automatically.

Work order managementTechnicians receive, execute and document jobs on mobile or touch panels.

Spare parts managementSpare part stock linked to work orders — the right part is always available.

APS integrationMaintenance windows are planned into the production schedule, not against it.

Machine history & analyticsMTBF, MTTR, downtime %, emergency rate, compliance rate and cost indicators per machine — a full Maintenance 4.0 management dashboard.

Digital breakdown managementNotifications triggered by operators (HMI/web) or automatically by sensors — with priority, structured documentation and full traceability from malfunction to closure. No paper, no lost requests.

Integrated spare parts & warehouseOrders reserve required parts, generate inter-warehouse transfers with barcode confirmation, and trigger purchase orders if stock is unavailable.

Strategy-based preventive plansTime-based (monthly/yearly) and performance-based (operating hours, production count) strategies with multi-cycle scheduling and early/late shift factors that recalculate future calls automatically.

Measurable Results

-45%Breakdowns

+20%Machine lifetime

-30%Maintenance cost

100%Digital work orders

From the Platform — Real Screens

Maintenance Overview Dashboard — downtime %, MTBF, MTTR, compliance and cost KPIs in one screen

Maintenance Monitoring — live notifications, orders, inspection backlog and real-time status

Anomaly Monitoring — real-time sensor data with automatic maintenance notifications on threshold breach

Frequently Asked Questions

What data does predictive maintenance need?

Sensor data from META Smart I/O devices or existing PLCs — vibration, temperature, current and cycle counts are typical inputs.

Can technicians use it on mobile?

Yes, work orders, checklists and machine history are available on phones, tablets and MSF panels.

Does it work with MES downtime data?

Yes — downtime reasons recorded in MES automatically create maintenance notifications.

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