Manufacturers can achieve significant costs savings:
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.
Design, quality, and usage
configuration or design
application or use
other IoT data
cost to repair
time to maintain
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.