Predective Maintainance  and monitoring 

A proactive approach to preventing the failure of expensive manufacturing equipment is to analyze the data throughout the production process to measure unusual behavior in advance, to prevent prolonged periods of production downtime.

Why you need?

For the manufacturer, any breakdown is uneconomical, no matter how minor it is. The looseness of one bolt leads to accelerated wear and tear, shortened equipment life, and abrupt equipment downtime.

In this scenario, you incur additional recovery expenses, have impaired production quality, do not perform a simultaneous device analysis, and have no transparency in the production process.

Intelligent automation is a fundamental element of the fourth industrial revolution, using technologies like big data, the Internet of Things, and machine-to-machine communication (M2M).

Preventive Maintenance and Predictive Maintenance- the differences

Preventive Maintenance

  • Reactive maintenance was done by manufacturers, who repaired or replaced assets after they had malfunctioned. As a result of reactive maintenance, businesses are subject to production stops and massive losses because of equipment breakdowns.

  • In preventive maintenance, the main challenge is balancing cost and return.

  • Maintainers who are experienced must make smart decisions on what types of preventive maintenance they should perform and how often.

Predictive Maintenance

  • A predictive maintenance approach to maintenance offers many business benefits over non-preventive and reactive approaches. A number of improvements can be made, including improving asset utilization and overall equipment effectiveness (OEE), avoiding unscheduled downtimes, and planning maintenance activities optimally.

  • The benefits of predictive maintenance are significant cost savings and increased revenue for manufacturers that manage small to large deployments.

Maintenance on machines is only performed when it is necessary when predictive maintenance works effectively. The point at which failure is most likely to occur. This saves several costs

The ROI of predictive maintenance programs has been shown to increase tenfold, cost-reduction by 25%-30%, breakdowns by 70%-75%, and downtime by 35%-45%.

How does it helps

Maximizes efficiency

A reduction in equipment downtime and a reduction in major repairs are achieved

Improves safety and reliability

A safer and more quality environment for everyone

Saves Money

The use of maintenance workers is more economically efficient and overtime costs are reduced

Prolongs equipment life

An increase in the life expectancy of assets due to improved asset management

Reduces maintenance costs

Timely, routine repairs by-pass fewer large-scale repairs

What We Can Do for You

App as a Service model

QR /NFC based asset tagging

IoT enablement for auto data capture

Alerts & notifications for machine health, process parameter or data range violations

The App works in offline mode

Auto Synchronization with cloud

Data Checkpoints to ensure operators do not make mistakes

Digital SOPs feature for operators to follow standard/defined procedure

Web-based interface for analytics

Alerts & notifications through SMS and email.

Inspection, Calibration & Testing

Documents - Manuals, Circulars, Notifications repository

Automated Planning & scheduling of activities with Task & AMC management

ERP, AD, Scada Integration with Data security 

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