Digital Twins
What is a Digital Twin?
Manufacturers can achieve significant costs savings:
- Cut service, warranty, and repair parts costs
- Increase effective life and fuel/power efficiency
- Optimize predictive maintenance
Digital Twins for Products
Products sold to customers have different business and data needs compared to machines used internally within a business.
Products used with a variety of customers types and applications require separating many different streams of signals.
We apply specialized IoT analytics to solve product data challenges such as incomplete (censored) data and complex relationships across variables.
Optimize Costs and Customer Results
Design, quality, and usage
customer type
configuration or design
application or use
supplier
plant/batch
warranty claims
environment
maintenance
other IoT data
drive
business results.
uptime
failure types
efficiency
warranty costs
cost to repair
time to maintain
loyalty
Case Study: Manufacturing
Team members developed digital twins forecasting uptime and cost and time to repair for a manufacturer of commercial engines.
The solution quantifies component performance, relationships between components, and how performance relates to customer type and configurations.
The client realized significant savings by preventing failures, unplanned downtime, and recalls while reducing repair parts inventory.