Smart Asset Management through Predictive Analytics

Cherrywork® Predictive Asset Maintenance Application helps reduce, minimize, optimize asset lifecycle costs across all phases, from asset investment planning, network design, procurement, installation and commissioning, operation and maintenance through decommissioning and disposal/replacement.

Features and Benefits

Improved customer satisfaction and reliability

This application helps detect unexpected equipment failures that impact customer satisfaction and reliability. Customers expect planned outages to be communicated in advance to plan their consumption. This application helps maintain their assets proactively to avoid penalties.

Improved overall safety and compliance

By integrating data from multiple sources – online monitoring systems, weather channels, along with non-operational data (operational rules, equipment data sheets, industry standards, etc.), companies can quickly identify safety risks and take suitable operation actions to mitigate them.

Increased visibility into maintenance history

Ensures regular monitoring of the actual conditions of the equipment and process systems can reduce the number of unexpected equipment failures by approximately 55%. We can implement a preventative maintenance program that maximizes the return on asset investment.

Reduced total cost of ownership by prioritizing maintenance activities

This application utilizes historical data from multiple sources to build accurate, testable predictive models, which allows user to generate predictions and risk scores.

Reduction in maintenance costs

Enables customers to use predictive analytics to predict and diagnose problems before they occur. This shifts maintenance from a reactive process to a proactive strategy, moving the organisation higher up the maintenance maturity pyramid.

Reduced downtime for repairs

The application reduces the actual time required to repair or recondition plant equipment. The mean time to repair (MTTR) by 60%Preventative maintenance is more cost-efficient compared to corrective maintenance, especially in the long term.

Reduced stock of spare parts

The application has the ability to predetermine defective parts needing repair, tools and required labor skills ensure a reduction in both repair time and costs. The costs involved in stocking spare parts can be reduced by more than 30%