Maintenance News Predictive Maintenance Reliability

Schneider Electric Honors 6 Customers for Digital-Transformation Success

Jane Alexander | November 14, 2017

Schneider Electric (Lake Forest, CA) is celebrating six customers for outstanding achievements with its Industrial Software Platform in the areas of digital-transformation strategy, workforce empowerment, and business value.

The awards were presented at the company’s recent Innovation Summit: Software Conference 2017, in San Antonio. Categories and winners include:

BASF was recognized for its comprehensive “Industrie 4.0” initiative, which targets creation of additional value for customers and increased effectiveness and efficiency of operations. In manufacturing, the first projects include predictive maintenance and augmented reality to improve asset performance, reliability, and utilization while increasing production efficiency.

BP was recognized for implementing unified supply chain management across downstream assets for feedstock evaluation and economic modelling. In one scenario, data analysis time was cut from hours to just a few minutes allowing more analyses to be carried out to support more robust decision-making.

Arizona Public Service (APS) was recognized for implementing cloud-based virtual training to help address a changing workforce (about half will retire in the next five years) and highly distributed plants (an 800-mi. span between their two most distant facilities). APS delivered a comprehensive training solution for effective knowledge management across all facilities.

Maple Leaf Foods was recognized for transforming how employees visualize performance to drive new levels of efficiency through implementation of a manufacturing execution system. Mobile tablets now display dashboards with real-time KPIs to quickly identify critical problems, improving operational excellence across people, processes and equipment.

Duke Energy was recognized for an estimated $35-million cost savings from early warning detection of a damaged steam turbine blade. Predictive maintenance technology identified a vibration anomaly, enabling the team to further inspect the turbine blade and proactively address the issue before failure.

Network Rail was recognized for comprehensive asset monitoring and analysis with a new intelligent infrastructure solution that monitors 42,000 assets across 20,000 miles of train tracks. So far the system has saved 500,000 potential train delay minutes (approximately £45 million in compensation payments).

For more information about Schneider Electric Software’s complete portfolio of technologies and services, CLICK HERE.





Jane Alexander

Jane Alexander

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