Planned, condition-based, predictive.
SMARTR.factory combines all three strategies in a single application. Assets stay available, documentation duties are met, and your maintenance shifts from a cost factor to an efficiency driver.
Maintain before the machine stops.
Planned maintenance orders are the foundation of a reliable machine park. SMARTR.factory adds two more strategies: condition-based triggers as soon as thresholds are breached, and anomaly detection that identifies changes before they become a problem.
That means: fewer unplanned downtimes, fewer redundant routine maintenances, more clarity about the condition of every asset.
From routine to emergency.
Planned maintenance
Recurring and one-off planned orders in a single system. With management of responsibilities, due dates and renewal rules.
Condition-based triggers
Custom thresholds, alarms and if-then actions automatically trigger maintenance orders as soon as asset values leave the normal range.
Anomaly detection
A learning algorithm detects unusual patterns in machine data and reports changes before they lead to downtime.
Asset management down to component level
Assets, components and spare parts are managed hierarchically. Maintenance history and lifecycle of every component always remain traceable.
Ticket system and workflows
Requests, approvals and escalations run in a structured way. With media attachments such as photos, videos, documents or uploads directly on the order.
Seamless integration
Connection to ERP, machine data and operating data capture. Maintenance is triggered directly from machine signals or order status.
From signal to completed maintenance.
Routine inspections, tasks and checklists are managed by time and responsibility. SMARTR.factory continuously monitors your assets and automatically creates additional orders as soon as machine data indicates action is needed.
The maintenance team handles orders via the mobile app, right at the machine. Wiring diagrams, instructions and past maintenance records are at hand, without searching through file cabinets.
Through continuous process monitoring and automated error detection, we were able to significantly reduce the number of production errors. Being able to detect and fix production deviations immediately is a decisive contribution to quality assurance.
Less downtime, longer life cycles.
Machine data, operating data and maintenance history combine into reliable KPIs for every asset. Maintenance intervals can be planned more precisely, assets reach longer life cycles, efficiency losses become less frequent.
Inspection and work reports, cost analyses and documentation for audits are available at any time – without paper, without searching.
Through integration with machine data, MTTA (Mean Time To Acknowledge) – the time between fault report and start of repair – is significantly reduced. The asset reports the fault, the right team is notified automatically. No valuable time is lost.
Less downtime. More availability.
Let's talk about how modern maintenance reduces failures and improves availability. An initial conversation shows how maintenance can be sensibly digitalised with SMARTR.factory.
Schedule a meeting now →