The diagram shows a typical scheme for e-F@ctory which can be implemented and adapted as per the requirements of the End-User for varied industry verticals.

One such example of e-F@ctory is the Intel IoT pilot project implemented in the Malaysia plant which includes the integration of both quality and asset analytics application in the cloud. The application uses various third party analytical tools like R and Hadoop for Data Mining & Analytics. The Mitsubishi Electric C language controllers of MELSEC-Q series were used. The pilot involved close collaborations between the factory engineers, the IT department and industry experts from Cloudera, Dell, Mitsubishi Electric, and Revolution Analytics. The team started leveraging existing machine performance and monitoring data, then proceeded to leverage Big Data analytics and modelling to ingest the data to predict potential excursions and failures. Being able to predict the machine component failures allows engineers to repair and prevent the excursion, hence reaping tremendous savings from wasting production units, time to repair and machine components. For Intel, this pilot project has been forecasted to save about $ 9 Million annually.
In summary, e-F@ctory enables users to integrate shop floor data to the ERP system in real-time leading to overall improvement in Productivity and Reduction in Total cost of Ownership (TCO).
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