Automotive and Parts Manufacturing
Predictive maintenance for automotive manufacturers solutions stand at the forefront of addressing the many challenges of the automotive and parts manufacturing industry.
With increased demand, there is a need for faster production. Yet many manufactures struggle to keep up with the demand and are putting increasing strain on existing machinery. The good news is Nanoprecise’s Predictive Maintenance solutions are perfect for the auto industry in mitigating these challenges!
Automotive and Parts Manufacturing Challenges
Long Lead Times For Plant Equipment & Consumers
The automotive industry suffers from long lead times across the board. When specialized manufacturing equipment goes down, it can take weeks to receive the part needed to get production back online, slowing the consumer supply too.
Lack of Insight Into Machine Health Reduces Remaining Useful Life
With increased demand, auto manufacturers have speed up production. Sometimes a part is made on a machine that it shouldn’t be making it, leading to faster wear and tear on the machine, reducing it’s remaining useful life.
Automotive Tariffs
Auto tariffs drive up the cost of imported parts and vehicles, inflating manufacturing expenses and straining supply chains. You can’t afford added downtime or delays, especially when replacement parts are also hit.
Solution: Energy-Centered Predictive Maintenance for Automotive Industry
Early Fault Detection & Shutdown Prevention
Get insight into the health of your machines as well as notifications early fault detection notifications so you can be proactive in your maintenance planning.
Elevate Safety and Efficiency
Our robust wireless hardware, certified with IP68, ASME Div 1&2, FC UL, and IECeX Zone 0,1,2, is seamlessly integrated with a custom AI-based platform, meticulously designed for the demands of the Auto Industry.
Save Time, Money, and Resources​
Get insight into the health of your machines and early fault detection notifications so you can be proactive in your maintenance planning.
Accurate Remaining Useful Life (RUL) Predictions
With accurate Remaining Useful Life (RUL) predictions, our AI algorithms analyze historical data, equipment conditions, and performance trends to forecast the remaining lifespan of critical components.
Trusted By Your Peers
Case Study: Predictive Maintenance in Automotive Industry Preventing Downtime
A Fortune 500 automotive manufacturer struggled with monitoring of critical equipment in hard to reach places, leading to multiple unplanned shutdowns.
With no way to monitor these machines, maintenance teams were reacting to failures as they happened instead of mitigating risks and unplanned downtime.
Using Energy-Centered Predictive Maintenance in the team was able to receive an early fault detection notice for a remote Table Lift located, and prevented over 8 hours of unplanned downtime!
See it in Action!
Unlock operational excellence in the automotive and parts manufacturing sector with Nanoprecise Sci Corp.
Explore the unparalleled potential of predictive maintenance tailored to the unique intricacies of your operations. Our specialized solutions seamlessly align with your needs, offering a myriad of benefits for enhancing equipment reliability, streamlining processes, and achieving comprehensive operational efficiencies.
Connect with us today to experience a personalized demonstration!