REAL-TIME

INSIGHT

Optimize costly downtime with predictive machine maintenance, advanced OEE, and real-time data integration capabilities with iDataOps

Establish connections, gather, and display data from any machinery present on the manufacturing floor.

Elevate operations with seamless connectivity, providing real-time visibility into key machine metrics for proactive decision-making.

Stay steps ahead and anticipate potential issues before they disrupt.

A centralized dashboard to oversee real-time visibility of key metrics for all your machinery and production processes, productivity, and resource utilization.
Overview of alerts and notifications for the facility.
Factory and department-wise view, select the line, grouping based on the production line.
Effective control and monitoring of equipment per facility, per operator, group, shift, and machine name.
Machine's efficiency directly affects scrap count, influencing overall quality.

Leverages historical and real-time data for accurate forecasts.
Proactive scheduling optimizes resource allocation and enhances efficiency by allowing organizations to plan production activities in advance.
Empowers organizations to make well-informed decisions, reducing production risks, timely delivery.
Production process optimization based on asset condition.

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.

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.

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.