Přejít k obsahu

Fleet Maintenance & Analytics

Heavy Equipment machines are becoming more intelligent, connected devices that provide unmatched performance and durability over decades of continuous use in the world’s most harsh environments. Our Fleet Maintenance and Analytics solution builds on our remote diagnostic foundation to provide integrated analytics and fully integrated data management capabilities to predict fleet maintenance needs and provide field service teams with complete asset-specific information to minimize unplanned downtime.

Heavy Equipment machines are becoming more intelligent, connected devices that provide unmatched performance and durability over decades of continuous use in the world’s most harsh environments. Our Fleet Maintenance and Analytics solution builds on our remote diagnostic foundation to provide integrated analytics and fully integrated data management capabilities to predict fleet maintenance needs and provide field service teams with complete asset-specific information to minimize unplanned downtime.

Learn More

Heavy Equipment machines are becoming more intelligent, connected devices that provide unmatched performance and durability over decades of continuous use in the world’s most harsh environments.  Customers increasingly expect lower costs of ownership through greater operational efficiency and zero unplanned downtime. It is clear that manufacturers need to make greater use of telemetric field data to minimize downtime and warranty costs.

Manufacturers face the twin challenges of supporting equipment in the field while continuously improving new machinery by leveraging live field data.  Our Fleet Maintenance and Analytics Solution for Heavy Equipment leverages the Internet of Things (IoT) and foundational analytics platform to enable manufacturers to create custom algorithms and programs leveraging their own product intelligence and address broader trends of part and machine performance to drive business activities to increase service revenue through broad adoption of service and parts kits.

This information is crucial for service operations and new product development to be able to close the loop between predictive simulation and real-world performance.  We provide unique capabilities to extend the digital twin to create and manage asset-specific product bills that trace product history from initial build through end of service life.

Možnosti řešení

Explore the key areas of this solution.

In-service Data Management

In-service Data Management solution for the heavy equipment industry allows customers to manage the entire lifecycle of product configuration from concept to variants, from designed to manufacture and service.

IoT & Lifecycle Analytics

Získejte pomocí internetu věcí potřebné informace přímo ze strojů v provozu, v dole nebo na stavbě, tedy z „fyzického dvojčete“. Spojte tyto informace s daty konstrukce obsaženými v platformě pro digitální inovace, tedy „digitálním dvojčetem“, a získejte tak informace, které vám zajistí konkurenční výhodu.

Service Engineering & Support

Service Engineering and Support solution for the Heavy Equipment Industry lets you utilize existing product knowledge from design and simulation, while incorporating the experiences and requirements from the field to determine service requirements, service plans and service instructions, that need to be developed, validated, and documented prior to the delivery of your product.

Supply Chain Collaboration

Our solution offers an easy-to-use, secure platform for interacting with suppliers, even those outside of your PLM environment. A holistic view of product structure, including supplier data, is available by storing and providing product data in a centralized database.

Technical Publishing

Bring 2D and 3D document development and management process into your PLM environment to help address product complexity with a more efficient and accurate development process that avoids the duplication errors and out-of-date information caused by manual paper-based tasks.

Interested in [[global-preference-center-interest-placeholder]]?

Subscribe to [[global-preference-center-interest-placeholder]] updates

Oops

We're very sorry, but we weren't able to capture your submission. Please try again.

Thanks for signing up! First time subscribing? Be sure to check your email to confirm your subscription.