Semiconductor chipmakers use advanced monitoring, process control, and data analysis solutions to optimize production fab operations.  Similarly, these same companies are now looking to the sub-fab to gain new insights that can in turn yield substantial production efficiencies. Today, sub-fab operations greatly impact production.

For example, vacuum pump failures cause unplanned downtime and other disruptions. Pump failure during wafer production is expensive and can impact the overall yield. Our solutions enable smart pumps that provide real-time data and insights on pump performance to:

Downtime due to unscheduled maintenance has a huge, negative impact on the manufacturing productivity.  Gartner estimates machine downtime can cost as much as $300,000 per minute.  Over the past ten years, the auto industry has been embracing increased automation on the shop floor, adopting data management and analytics solutions as a means to improve plant operations and overall manufacturing productivity. lloT and AI are accelerating this trend.

We solve asset performance issues with intelligent AI manufacturing solutions that connect millions of data points across the factory engineering systems, equipment, and processes. This creates real-time, actionable insights through smart applications that evaluate machine and process performance, gather predictive analytical insights, and transmit reports and alerts to eliminate downtime as the result of equipment or part failures.

Operationalizing analysis and production insights begin with automated data collection, cleaning, and contextualization using applications that provide critical real-time data modeling. For rechargeable battery manufacturers, an average of 75% of this process is spent gathering data, with only 25% spent on analytics and insights (the value-add component).

As a 20-year domain expert, we optimize analytics for greater visibility and insights into asset performance. Our solutions are designed to handle rechargeable battery manufacturing’s unique data and needs of the equipment systems. AI data analysis tools enable the battery manufacturers to perform seamless data modeling and contextualization.

Data-driven plants are the key to reducing risks, reducing batch loss, and increasing the performance of the food processing manufacturers. AI predictive analytics alone cuts asset downtime in half, and reduces equipment maintenance costs by more than 20 percent. IoT-enabled AI real-time data detection and analytics produce actionable insights that enhance operations by improving product quality, minimizing batch loss, and reducing asset maintenance and replacement costs, thus improving business performance.

Our smart applications access and gather information from equipment (mixers, agitators, furnaces, etc.) and processes, and consolidates data from formerly siloed environments across the plant to create new insights that are key to achieving manufacturing excellence. Real-time data produces intelligence that delivers products to the market faster with less risk, and produced by equipment that lasts longer.

Public water services play a critical part in the lives of billions of people worldwide who rely on clean water for their daily well-being. To ensure an uninterrupted supply of clean water to their communities, the water industry turns to us for managing the performance of their most critical assets, the pumps and pump systems. By leveraging the advanced analytics provided by the GrandView solution, engineers at water treatment plants can now have access to insights on the health of their pumps in real-time as well as the predictive information that allows them to service these assets at the most optimal time.

Shifting from the manually scheduled vibration routes to an automated, continuous monitoring system significantly enhances the operational efficiency and reduces time-to-repair. The result is no unexpected downtime events, which allows the uninterrupted supply of clean, safe drinking water to the communities.

The growth of e-commerce in the past decade, especially during the pandemic years, has put tremendous pressure on the logistics industry to not only expand capacities to handle the ever-increasing volume of packages, but also to create more efficient operations.  At each facility, assets such as motors and drives are critical to operations, driving miles of conveyors to ensure that packages are routed to the right places in a timely manner.

To make sure these critical assets are operating at optimal levels, companies use our advanced analytics to monitor and assess their health, detecting abnormalities in behaviors, and eliminating unexpected failures. This allows for the maximum utilization of maintenance schedules, streamlining of workflows, and prevention of catastrophic downtime events. This, in turn, allows businesses to maintain their customer satisfaction by guaranteeing delivery to customers on time every time.