Rubus Digital

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Use Cases

Remote Monitoring

Gain deeper Plant Intelligence & Reduce Cost of Service
Connect multiple devices and systems through protocols and APIs and monitor the critical assets. Track real time KPIs using custom dashboards that provide performance insights. Configure events and triggers based on deviating sensor values. Leverage historical data to develop custom models, build a foundation for predictive maintenance and explore new revenue streams.
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Utilities & Energy Management

Optimize Energy Consumption and Increase Efficiency
Measure and analyzes Energy consumption and energy quality parameter data e.g power frequency, supply voltage, voltage interruptions etc. to optimize Energy consumption and increase Efficiency. With analytics feature, develop energy consumption patterns, detect abnormality in Consumption and predict future energy needs.

Electronic Logbook

Digitize log books, Minimize human errors and Increase Compliance
Replace the traditional paper-based log books with digitized information. Simple and Intuitive GUI to capture the valuable non-automated data in a structured form, manage events, issue instructions and create audit trails. Minimize human errors and improve data reliability for Compliance.
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Condition Based Maintenance

Minimize Machine Downtime through Just-in-Time Maintenance
Machine or equipment’s data is acquired and monitored on real time basis and rules are applied to find exceptions or thresholds that are exceeded. In case of a deviation, trigger actions in a timely manner. The action could be as simple as an alarm or SMS or email or as advanced as the automatic creation of a maintenance order in an Enterprise Management system.

Production Costing

Optimize Cost of Production through visibility across the value chain
Configure automatic data collection from different systems like ERP, Asset Management and etc, utilize predefined industry specific formulae to derive production costing. Develop insights into actual production, identify leaks and potential cost savings areas to increase the bottom line.
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Quality Assurance

Minimize waste, Save cost & Ensure Compliance
Collect product and process data from different stages of the production to track real-time batch and product genealogy. Real-time analytics built on SPC methods applied to control limits to predict product quality, receive alerts for any deviations. This ensures compliance in the event of a quality audit, withdrawal or recall and also make defect tracking more efficient.

Predictive Maintenance

Prevent asset breakdown by anomaly detection, root cause analysis and failure prediction
Analyze real time data from equipment and devices, detect anomalies send alerts and automatically trigger appropriate maintenance processes.  Leverage historical data to recognize patterns and predict failures before they actually happen. Optimize operations and quality with the root cause analysis module and best next action workflow.
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Predictive Operations

Achieve Operational excellence with improved efficiency and quality at optimized cost
Build a Smart Factory with horizontal integration of all assets and subsystems of various operations coupled with deep analytics, to improve operational efficiency and quality using AI, machine learning and device connectivity. Save cost and increase Return on Investment with higher asset performance, increased quality and optimized energy consumption.

Reliability Improvement

Improve reliability through continuous equipment and process improvement
Achieve greater reliability through continuous equipment and process improvement. Leverage Analytics on historic data and the detailed real time information to enhance equipment performance through failure predictions and optimized maintenance schedules. Generate intelligence for design enhancements and maintenance strategies to improve overall reliability.
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