Decisyon Digital Factory’s Asset Optimization solution improves asset utilization, recommends options for improvement and implements relevant actions. Designed to integrate real-time data from multiple systems and sources, the Asset Optimization solution provides a single point of access to critical data being generated by key assets such as manufacturing equipment, electricity and wind turbines, oil and gas exploration equipment, healthcare devices and others. Decisyon Digital Factory’s Asset Optimization solution improves asset utilization, recommends options for improvement and implements relevant actions. Designed to integrate real-time data from multiple systems and sources, the Asset Optimization solution provides a single point of access to critical data being generated by key assets such as manufacturing equipment, electricity and wind turbines, oil and gas exploration equipment, healthcare devices and others. Feeding historic trends and real-time data into predictive models, operations teams can instantly identify maintenance and upgrade requirements before failures occur. Decisyon’s Asset Optimization solution supports alerting as well as cross-functional collaboration and decision making across departments and functions. The solutions enable users to execute functions and kick off a work order to field technicians based on this information.
KEY CAPABILITIES
BENEFITS
One of the largest energy suppliers in the U.S. faced challenges with its Smart Wind Farm Solution. The energy company’s managed service provider (MSP) wanted to help its customer reduce overall downtime and optimize wind farm operations. By implementing the Decisyon Asset Optimization solution, the energy provider integrated four functional areas: asset detail, engineering data, performance analytics, and maintenance and scheduling into a unified environment. As a result, the energy customer has significantly reduced downtime and optimized its operations. The energy customer expects to achieve a $10 million ROI on a single wind farm over five years.