New IIoT solution enables industry to control real-time profitability

Schneider Electric’s EcoStruxure Profit Advisor measures and controls real-time profit performance of every plant asset and asset set.

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Schneider Electric, an energy management and automation provider, introduced new IIoT capabilities that can measure and control the profitability of operations in real time.

Developed through a partnership with Seeq, a provider of software and services that enable data-driven decision making, EcoStruxure Profit Advisor uses Big Data analytics to measure the financial performance of an industrial operation in real time, from the equipment asset level of a plant up to the process unit, plant area, plant site and enterprise levels. On-premise or cloud-enabled, it works seamlessly with any process historian to mine both historical and real-time data. It then processes that data through Schneider Electric’s proprietary segment-specific accounting algorithms to determine real-time operational profitability and potential savings.

“Despite all the new technology and capabilities available to the automation market today, many industrial operations are still performing sub-optimally when it comes to the potential business value they can generate,” says Craig Resnick, vice president, ARC Advisory Group. “Optimizing business value in industrial operations requires scalable, open solutions that help users leverage every industrial asset. This requires shrinking the time to asset benefit from the smallest mechanical and electrical assets to the supply chain and enterprise. Such an approach could ultimately enable industry to move from monitoring business value to actually controlling it. This would include controlling business functions, such as, for example, scheduling and planning, that until now were purely transactional. This ability to actually control business value in industrial operations is a real breakthrough and will result in direct positive effects to companies’ bottom lines.”

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