Maximizing fleet availability while making the best use of assets and controlling spend is a daily challenge. Maintenance and Operations teams need to understand the current state of the fleet, predict upcoming unscheduled maintenance, and plan for future operations. How can Predictive Maintenance based on a Predictive twin of your assets and fleet help?
New telematics systems and “connected” trucks promised to drive down maintenance costs and reduce unscheduled maintenance, but most fleet managers have yet to see the fully anticipated ROI. The challenge is not a lack of data, but how to effectively transform data into actionable forecasts.
Plan Matrix extends the Clockwork Predictive Twin model to incorporate a detailed model of the entire maintenance and support infrastructure, including supply chain, spares inventory, logistics and more to deliver comprehensive predictive Lifecycle Analytics.
Demand Matrix helps organizations adopt Predictive Maintenance with high-fidelity spares and maintenance demands forecasts using Predictive Twin models providing a bottom-up, reliability-based statistical model of each asset and all relevant parts.
Clockwork Studio is a robust, scalable platform that processes, transforms and distributes data from various back-end systems to create and refresh the Predictive Twin models that drive Demand Matrix and Plan Matrix.
From remote drilling platforms to large machinery, your organization needs to know its assets down to the component level. Clockwork’s unique approach to Advanced Analytics and CBM allows us to more accurately identify the unique obstacles your organization faces. Unlike other data tools, we apply a wide variety of Advanced Analytics to nd optimal condition indicators for your assets.
A presentation specifically designed for aviation fleet managers with examples from our experience within the industry on how to best use predictive analytics -- to improve asset availability, control asset maintenance costs, and optimize resources.
Designed for the unique needs of enterprise IoT deployments, Clockwork can take into account historical and real-time asset data to create a virtual predictive twin for predictive analytic techniques. The result is high-fidelity actionable prognostics that provide insight into the future state of the assets.
A PHM approach that takes a wholistic view of your asset’s characteristics, history, and environment provides the ability to generate high fidelity prognostics and decision support for insights down to the individual asset level vs. at the macro or line level.
Article from April 2017 edition of USAF Reliability & Maintainability magazine discussing how Clockwork Solutions helped the Ellsworth Air Force Base address their data integrity challenges on their way to CBM+.
Using our Predictive Health Monitoring Framework, built to support evaluations for the US Army Aviation community, Honeywell, and Schlumberger, Clockwork can help you assess and optimize your CBM investment
A world leader in offshore drilling needed to create a high-fidelity drillship fleet Reliability, Availability and Maintainability (RAM) Model, to optimize overhaul intervals for critical drillship equipment & investments in capital spares. See how we helped them identify $2 billion is increased revenue when optimally investing $120 million.
Marine Corps System Command desc - MCSC serves as the Department of the Navy’s systems command for ground weapon and information technology system programs. See how we provided the predictive analytics in the delivery of product support.
While some organizations see tremendous results with improved productivity and controlled costs, others spend millions of dollars only to be disappointed in the implementation, data received, and, ultimately the value. What differentiates the two?
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