REAL-TIME
INSIGHT
Optimize operational efficiency and minimize costly downtime with predictive maintenance, advanced OEE (Overall Equipment Effectiveness), and seamless data integration.
Connect Any Machine
Effortlessly integrate and gather data from all machinery on the production floor, providing comprehensive insights across diverse equipment.
Performance Monitoring
Boost operational performance with real-time visibility into critical machine metrics, empowering proactive decision-making and enhancing production efficiency.
Predictive Maintenance
Anticipate potential equipment issues before they occur with advanced predictive analytics, reducing unplanned downtime and costly repairs.
iDataOps Features
Centralized Command Center
- Unified dashboard for real-time monitoring of machinery, production processes, productivity, and resource utilization.
- View alerts and notifications for facility-wide operations.
- Factory and department-specific views, organized by production line.
- Efficiently manage equipment by operator, shift, group, and machine name.
- Machine efficiency directly correlates to quality, impacting scrap rates and overall production outcomes.
Performance Monitoring
- Leverage historical and real-time data to accurately forecast performance trends.
- Proactively schedule and optimize resource allocation to increase efficiency and reduce production risks.
- Empower your team to make data-driven decisions for timely delivery and higher production output.
- Optimize production processes by monitoring asset conditions and identifying improvement opportunities.
Predictive Maintenance
- Utilize AI & ML algorithms to make predictions.
- Predictive Remaining useful life (RUL) and mean time to failure (MTTF).
- Prioritize maintenance or replacement efforts on components with shorter RULs, ensuring the most critical assets are addressed first.
- Support through data scientist to uncover custom opportunities.
Power Usage Effectiveness
- Display of the machine's monthly, weekly, and daily load distribution in showing peak usage times and idle periods.
- Leverage a breakdown of energy consumption for the machines, to pinpoint which equipment may need maintenance.
- Real-time alerts for significant load variances, enabling maintenance teams to investigate, rectify issues and help in maintaining ESG levels.
Condition Monitoring
- Monitor equipment performance and analyze data, to identify when machines are experiencing wear and tear, and overheating for proactive replacement before they fail and cause unexpected downtime.
- Excessive vibration accelerates equipment wear and early failure. Our predictive maintenance tool monitors vibrations, spotting irregular patterns for early detection and prompt corrective action.
- Streamline the process of monitoring equipment and utilize real-time insights for improved decision-making for improved production.
