SCNET · Enterprise IT · Ankara, Türkiye
Manufacturing technology services bring visibility, analytics, and security where responsibility moves between the factory floor and enterprise IT alongside the data. Sanal Çekirdek designs around production continuity, maintenance windows, and existing equipment.
Machine, line, quality, downtime and work-order data is connected through a shared time and asset model. Indicators such as OEE are defined with source and business rules rather than treated as unexplained dashboard values.
Sensor signals are combined with maintenance records, asset history and production context. Predictive models support early warning and prioritization rather than replacing maintenance judgment, and false-alert impact is measured.
Passive asset discovery, zoning, secure gateways and vendor-session controls provide visibility. Changes are coordinated with production safety and maintenance schedules.
Time-sensitive processing can remain at the edge while historical analysis and comparison run centrally. A shared data dictionary and integration layer make cross-site comparison and scale more practical.
Often through gateways, signal conversion or existing PLC/SCADA data. The method must be assessed against warranty, safety, protocol and production risk.
Active scanning can cause impact if used incorrectly. Passive discovery is therefore preferred, with active testing limited to approved scope, maintenance windows and safety conditions.
It depends on failure frequency, signal quality and asset diversity. If labeled failure data is limited, thresholds, anomaly detection and expert rules may be a more realistic starting point while evidence accumulates.
Assess the production objective, field data and OT risk in one discovery.
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