Movus, the developer and provider of the FitMachine IIoT solution, has launched a free tool to help asset owners, reliability and maintenance teams, operations and technology executives quickly estimate the financial benefits of condition-based maintenance in their organisation.
Built by engineers for engineers, Movus’ ROI calculator provides either a basic or advanced interface to help professionals understand the potential cost savings they could make by minimising unplanned downtime and reducing maintenance costs, while extending equipment lifetime, and saving on energy usage.
The calculator is a quick and easy to use resource for maintenance staff, planners, plant and production managers, operations professionals and executives to develop a business case for condition-based maintenance in their organisations.
Movus also provides easy-to-adopt, tangible solutions via its FitMachine sensor and dashboard to then deliver on these efficiencies for those keen to establish a condition-based maintenance strategy, but don’t know how or where to start.
Movus CEO and co-founder, Brad Parsons, said the company is committed to educating the relevant industries on the benefits – financial, operational and environmental – of condition-based equipment maintenance.
“We are simultaneously dedicated to then delivering the actual solutions needed to achieve these outcomes. We have done this by developing the most cost-effective, and easy-to-use and technologically advanced solution in our FitMachine platform.”
Businesses could save hundreds-of-thousands of dollars by moving to condition monitoring, said Parsons.
FitMachine is a condition-based maintenance solution that detects machine failures in advance using artificial intelligence and machine learning.
The solution comprises an industrial wireless bluetooth sensor, industrial gateway, mobile application, analytics and trending dashboards, and artificial intelligence engine.
The system automatically monitors equipment 24/7 and learns what the normal operation of machinery is to detect any abnormalities and alert the organisation before failures occur.
The insights provided are machine health, degradation, utilisation, energy consumption and more.