The way to intelligently manage industrial data and business processes in the age of digital transformation.
Siskon Data collection system, which is a modular management system; collects your production, quality, process and energy data from your business processes in real time, accurately and automatically, provides reports and notifications. Provides the necessary data flow to decision support systems.
What are the features of the systems?
Real-time data collection
Time-based data collection
Event-based data collection
Web-based configuration
Formulation and filtering
Alarm and notification management
Integration with ERP systems
Advanced reporting and analysis
Real-time performance monitoring
Wide communication protocols
Statistical Process Control
Maintenance and Calibration Management
Compatibility with all Siskon solutions
Production Data Collection System
Ensure success with real-time efficiency monitoring!
It allows you to perform efficiency, OEE, KPI, cycle time, downtime, bottleneck, waste and Pareto analysis by collecting production quantities, waste quantities and reasons for downtime in real time.
Quality Data Collection System
Secure quality with accurate data!
It standardizes your quality processes and increases your product quality by automatically collecting appropriate and accurate data from quality and analysis devices located in the laboratory or production area.
Process Data Collection System
Manage your process data, increase your operational power!
It allows you to increase your operational power by collecting many different process data such as pressure, temperature, speed, flow, pH, acidity based on events and/or time and performing both real-time and historical analyses.
Energy Data Collection System
Reduce your costs with data-driven energy management!
Designed to monitor, analyze and optimize energy use by collecting data such as consumption, voltage, current, frequency, etc., the system increases energy management performance by supporting processes in accordance with ISO 50001 standards.
