Clockwork understands the daily organizational challenges managing the availability of mission-critical asset availability and long-term asset lifecycles. Clockwork’s technologies are purpose-built from the ground up to provide high-fidelity insights into your strategic, capital-intensive assets, Asset Management, Supply Chain Management and parts & maintenance forecasting.
Whether you are looking for a complete view of the current state of your asset fleet, accurate demand forecasting for spares and maintenance, or comprehensive Predictive Lifecycle Analytics, Clockwork has a solution to help.
Clockwork Studio is a rich analytics workbench for use by Data Scientists, Analysts and Fleet Managers to create analyses, data workflows and predictive models for use in lifecycle planning and predictive maintenance efforts of mission-critical assets and fleets.
Studio incorporates four critical components every analyst needs to build effective, accurate analyses:
Studio supports standard libraries for incorporating powerful, general-purpose analyses techniques including Machine Learning, Natural Language Processing as well as Clockwork-developed algorithms specifically designed for use in Predictive Maintenance analyses and data anomaly detection for use in developing Condition Based Maintenance Prognostics using sensor data.
Studio also includes rich tools for acquiring, transforming and distributing data for use in analytics development. More than an ETL, Studio can handle complex integrations and work flows across multiple data sources to automatically clean and normalize data.
Clockwork’s secret is in the details of your assets and fleets. We create a bottom-up, Predictive Twin of your mission-critical assets that accurately represents the age and statistical reliability of every relevant system, part and subcomponent on every asset. This provides a complete view of the current state of your assets, as well as the ability to apply advanced simulation algorithms to accurately age assets and components into the future based on user-defined operating locations and tempo.
The result is an approach to forecasting that provides detailed, verifiable, accurate, spares and maintenance demands for each asset, part and relevant sub-component in the fleet months and years into the future. This allows our customers to accurately plan upcoming maintenance and supply requirements and proactively identify problems before they occur.
Clockwork’s platform can also incorporate the asset’s Predictive Twin into your organization’s asset maintenance and support infrastructure, including supply chain, spares inventory, logistics and more. This holistic model is the basis for an
accurate and complete view of operations and maintenance across a fleet. Using Discrete Event Simulation and advanced analytics, Clockwork generates accurate, multi-year forecasts, incorporating the entire supporting maintenance infrastructure for every asset in the fleet, complete with metrics and details at the asset or component level. This includes the ability to set up “What-if scenarios that allows our customers to create multiple alternate scenarios to resolve supply chain and logistics bottlenecks and evaluate different strategic approaches that maximize asset availability while controlling spend and minimizing risks.
Clockwork’s predictive modeling software has been validated by the most respected data analytics experts: