Reaching new levels of productivity and yield
Through this solution, Intel was able to reduce the amount of data they sent to the cloud and identify signals that predict FFU failure. They were also able to use trend data to help avoid unscheduled downtime, increase worker productivity, and reduce the cost of replacement parts through better planning. More specifically, this solution allowed Intel to:
- Improve factory floor operations: Intel was able to increase FFU uptime by 97% by ordering replacement parts upon potential failure detection and proactively replacing them before failure occurs – rather than trying to preventatively replace functioning units early, whether they needed it or not and sometimes not soon enough.
- Decreased excursions: By being able to order FFU replacements in advance, Intel has been able to prevent excursions and impact to production.
- Improved visibility: Intel’s technicians and tool owners can use summary data to more quickly identify changes in FFU health.
- Reduced unplanned downtime: Intel has reduced unscheduled downtime by 2/3 over manual inspection.
And it’s just the start. This scalable, interoperable framework has created a foundation that Intel can use in a variety of other IIoT use cases in the factory. In fact, Intel plans to scale this solution to find anomalies in electro-mechanical devices and other manufacturing processes.
Additionally, Intel is now partnering with us to work directly with their OEMs and equipment suppliers to enhance the value of this solution across Intel’s supply chain. These types of results are just the first step for OEMs. By partnering with owner operators, like Intel, OEMs can unlock a complete service innovation program that moves them closer to truly delivering Product-as-a-Service. Once this is accomplished, OEMs can then sell, for example, uptime versus selling capital equipment—allowing OEMs to increase customer satisfaction while managing costs through innovation.
To learn how we’re helping OEMs unlock these benefits and more, visit our Semiconductor Equipment industry page.