Creating Solutions for A
Broad Spectrum ofDiverse Industries
The automotive industry comprises a wide range of companies and organizations involved in the design, development, manufacturing, marketing, and selling of motor vehicles. It is one of the world’s largest integrated industries by revenue. However, there are a multitude of supply and demand intricacies in this industry that impact profit margins. Automotive companies are constantly seeking new methods to manage through this and subsequently improve margins. In an industry defined by high velocity, exceptional variety, and strict margin goals, every dollar matters. It makes sense to adopt a predictive machine health solution that leads to limited downtime, strong environmental compliance, a higher level of process predictability, and improved asset reliability.
Terms like Kyzan were invented in this industry, which depends on the timely delivery of components and sub-assemblies in a net build process. Going down or being late has significant production consequences for the plant and the downstream users of your output. Intelligent forecasting of maintenance work during scarce downtime is critical to the success of these facilities.
Variety is a hallmark of customer preference in this industry, which demands that producers effectively manage mix in their product processes. In many cases this mix results in intermittent use of many of the machines used in this industry. Safely assessing machine health when machines are in operation is key to successfully diagnosing machine health.
This industry has become a leader in product quality in large part because global competition, high unit cost, and expansive feature sets have led to high customer expectations at every price point. Ensuring consistent repeatability from machines through top performance is critical to managing quality and minimizing rework.