Unleash the Power of Lean Analytics for Peak Machine Performance
Empower Your Machines with Insightful Analysis, Every Step of the Way
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Overview
Dive deep into the core of your machine's production efficiency. Our OEE application, backed by the robust capabilities of the X Platform, allows you to monitor and evaluate the Overall Equipment Efficiency (OEE) with precision.
Use multiparameter filters to aggregate data, shining a spotlight on factors causing efficiency losses. Equipped with this insight, you can guide your factory owner clients in taking swift corrective action, enhancing the machine's performance.
Pareto Losses
Take a granular look at what's affecting your machine's uptime. Our Pareto Losses app unravels the mysteries behind production inefficiencies by offering pivotal insights into their root causes.
Whether it's identifying the mean time between failures (MTBF), the time to restore a system (MTTS), or the mean time to repair (MTTR), this app has got you covered. It's all about knowing, understanding, and then acting.
Pareto Scrap
When waste happens, it's essential to know why. Our Pareto Scrap app correlates production data to deliver invaluable insights into scrap reasons and their trends.
By pinpointing the exact causes of scrap, it allows factory owners to enhance quality control measures and minimize waste, ensuring a more streamlined production process.
Why Choose Our Lean Machine Analytics App
Lean principles focus on eliminating waste and enhancing productivity.
For a factory owner, having machines equipped with the Lean Machine Analytics suite means having a goldmine of actionable insights right at their fingertips. From understanding equipment efficiency to deciphering loss trends and scrap causes, these apps ensure every aspect of machine performance is optimized.
By offering machines with this suite enabled, machine builders are delivering more than just equipment; they are providing tools for continuous improvement. And with the X Platform at its core, they are emphasizing their commitment to bridging the gap between aspirations and tangible operational results.
What are the criteria for choosing your supplier
Concern - The platform should be able to scale to accommodate changes in the size of the business or the number of machines being monitored. This means it should be able to handle increasing amounts of data, support additional users, and integrate with new systems as the business grows.
Response - CORVINA's platform is built to scale with your business, whether you need to monitor a few machines or thousands. Our platform is designed to handle increasing amounts of data and users, so you can keep growing without worrying about outgrowing your monitoring system.
Concern - The platform should be customizable to meet the unique needs of the business. This includes the ability to create custom dashboards and reports, set up alerts and notifications, and configure analytics to match the specific metrics and KPIs that the business cares about.
Response - With CORVINA's platform, you can create custom dashboards, alerts, and reports to meet your unique needs. Our system is designed to be flexible and customizable, so you can monitor the metrics that matter most to your business.
Concern - The platform should have robust security features to protect sensitive data and ensure compliance with industry standards. This includes features like secure data storage, encrypted data transmission, role-based access controls, and compliance with industry standards like GDPR or HIPAA.
Response - CORVINA takes data security seriously, and we have implemented robust security features to protect your sensitive data. Our platform uses encrypted data transmission, role-based access controls, and secure data storage to ensure your data is always safe and secure.
Concern - The platform should provide real-time monitoring and analytics to detect potential issues before they cause downtime or damage. This means providing continuous monitoring of machine performance, as well as real-time alerts and notifications when problems are detected.
Response - Our platform provides real-time monitoring and analytics, so you can detect potential issues before they cause downtime or damage. Our system is designed to provide continuous monitoring of machine performance, as well as real-time alerts and notifications when problems are detected.
Concern - The platform should provide predictive maintenance features to enable proactive maintenance, reduce downtime, and improve equipment lifespan. This includes features like predictive analytics, machine learning algorithms, and AI-powered anomaly detection to identify potential problems before they occur.
Response - With CORVINA's platform, you can leverage advanced predictive maintenance features to proactively maintain your machines and prevent downtime. Our system uses predictive analytics, machine learning algorithms, and AI-powered anomaly detection to identify potential problems before they occur.
Concern - The platform should be able to integrate with existing systems, equipment, and software to avoid disruptions and maximize efficiency. This means supporting integration with a wide range of machine types, protocols, and data formats, as well as providing APIs and webhooks for easy integration with third-party software.
Response - CORVINA's platform is designed to integrate seamlessly with your existing systems, equipment, and software. We support a wide range of machine types, protocols, and data formats, and provide APIs and webhooks for easy integration with third-party software.
Concern - The platform should be easy to use and navigate, with a user-friendly interface that doesn't require extensive technical knowledge. This means providing intuitive dashboards, drag-and-drop tools for setting up alerts and notifications, and clear documentation and support to help users get up and running quickly.
Response - Our platform is designed to be user-friendly and easy to navigate, even for non-technical users. We provide intuitive dashboards, drag-and-drop tools for setting up alerts and notifications, and clear documentation and support to help users get up and running quickly.
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