With more than 30 years of experience delivering solutions across industries, we have developed a complete set of cloud (SaaS) or server-based applied analytics solutions for your mission-critical assets. Our platform and expertise focus on the enterprise asset itself using advanced predictive analytics to improve asset availability, increase production and minimize operating costs.
With operations and service costs representing more than 60% of the lifetime costs on capital-intensive assets, accurately managing costs while maintaining availability is a major challenge.
Clockwork’s LCM solution provides asset managers with a single holistic approach to manage the lifecycle of these assets. Unlike traditional forecasting methods based on trending historical data, Clockwork provides a much more complete approach. We collect, clean, and categorize historical and real-time operational data, as well as integrate planned asset usage, intended operating environment, logistics network, and other support systems into our models. This comprehensive approach gives you an unparalleled level of accuracy ranging years or decades into the future.
PBL can be a very cost-effective way for organizations to manage their strategic assets by contracting with suppliers to deliver on performance metrics instead of maintaining the equipment themselves. PBL can also be valuable offering for manufacturers by providing them with a competitive advantage over their competition by driving down maintenance costs. The challenge faced by all parties is managing the trade-off decisions involving cost, availability, and effectiveness over the life of the asset.
Clockwork’s predictive modeling capabilities enable evaluation of strategies for PBL design, maintenance, and inventory management using comparative measures of costs and performance. Our predictive analysis informs decisions related to affordability, trade-offs, cost estimates, inventory procurement, and development of maintenance and sustainment strategies.
Also known as Prognostics and Health Management, PHM uses operational data provided by sensors to allow early detection of impending failures, determine useful life calculations, and provide logistics decision-making support to maximize equipment ROI. By combining scheduled maintenance, condition-based maintenance, and predictive maintenance, a PHM deployment can enable effective cost versus performance decisions.
We work with you to qualify and combine available data sources to create the optimal model from which to build effective prognostics for PHM. After conditioning and mining data sources to develop the most accurate current state, we apply predictive techniques ranging from classical forecasting to machine learning to simulation. Finally we identify the most critical data points or input channels and uncover statistical correlations between data inputs and predictive metrics.
Basing asset maintenance on the condition of an asset vs run-to-failure or scheduled maintenance can provide significant benefits for your organization, including maximizing asset availability and controlling costs. But aggregating historical maintenance records with operational data (eg. sensors) and understanding the results can be daunting.
We can combine and harmonize your disparate data sources, including maintenance records and operational sensor data, and apply a suite of advanced analytic techniques to determine the most effective prognostics for your environment. We can also help determine the ROI of your CBM deployment with a long range Business Case Analysis using our predictive analytics capabilities.
The IIoT continues to grow at a blazing pace and hold tremendous promise in providing organizations with a wealth of data that can help optimize operations. The challenge rests in understanding what the data means and uncovering useful information or relevant statistical correlations across the data.
Clockwork helps you make sense of the flood of data. We determine the best approach for analysis and apply customized data cleansing and filtering to address irregularities in data due to noise, contamination, or other perturbations. We can then uncover statistical correlations to develop the best technical approach to diagnosis or prognosis and apply predictive techniques ranging from classical forecasting, to machine learning, and through to simulation to evaluate key metrics.
Organizations are collecting an ever-increasing amount of data on every aspect of their operations. The result is a wealth of information that can help them optimize and grow. The challenge for most however is how to use advanced predictive analytics and data mining to develop accurate and actionable insights without hiring, or rapidly growing, a team of data analysts and scientists.
Clockwork has helped organizations of all sizes and across industries unlock the value embedded in their data. We work you to consolidate, organize, clean, and analyze your data. We do not simply look at the past to help you look forward, we work with you and your team to develop high-fidelity analytic models that help you plan for the future and understand the impact of different operational scenarios.
Data is the lifeblood of any enterprise and the driver behind every strategic decision. In fact, predictive analytics are on track to represent over 40% of enterprises’ net new investment in Business Intelligence within the next three years*. However, the data needed to drive these analytics is spread across the enterprise, often riddled with errors, and in incompatible formats.
Clockwork’s data management framework enables your organization to meet the challenge with Extract-Transform-Load (ETL) functionality along with sophisticated data filtering and conditioning capabilities filtering to address inconsistencies, errors, omissions, and the like. The resulting aggregated data can be mined, visualized through dashboards and reports, or used with third-party applications.
* Gartner, 100 Data and Analytics Predictions Through 2020, 24 March 2016
Our Services team has helped enterprises and defense organizations worldwide address their asset management challenges. Our projects have included data cleaning and quality projects for military operations, inventory optimization for power utilities, lifecycle maintenance for rotary aircraft, reliability analyses for petrochemical plants, among many others. Our team of senior data scientists, software engineers, and project leads are not only experts in advanced analytics and a wide variety of data science technologies but also have industry experience solving real-world problems.
Whether you are looking for assistance with your CBM/PHM deployment, need some guidance on best practices for LCM, or need assistance building a business case for a very targeted situation, the Clockwork Services team can help you every step of the way.