WALLDORF — SAP SE (NYSE: SAP) has introduced SAP Predictive Engineering Insights, a cloud-based solution that creates virtual equivalents of physical assets to provide real-time, intelligent analysis based on sensor feeds.
Powered by SAP Leonardo, SAP Predictive Engineering Insights replaces the need for physical inspections with ongoing, live “digital inspection” and analysis. It combines a standard engineering methodology for calculating forces, stresses and fatigue based on sensor data with a high-performance 3D engine to provide visualized engineering insights. Customers can increase operational efficiency by connecting real-time engineering insights both to core business processes and to other SAP Leonardo–based asset management solutions, including SAP Predictive Maintenance and Service and SAP Asset Intelligence Network.
“Smart, connected assets are driving efficiency, performance gains and business improvements in a growing number of industries today,” LNS Research fellow Dan Miklovic said. “Making all of this possible is a digital twin that ties together engineering design models, predictive and prescriptive analytics, and collaborative performance and reliability insights. Going forward, companies leveraging these capabilities will be more profitable, and their smart, connected assets will allow them to better service their customers, leading to greater market share.”
SAP Predictive Engineering Insights builds on digital twin technology obtained from SAP’s acquisition of Fedem Technology to maximize the effectiveness of industrial assets by increasing availability and performance. The solution also helps equipment owners use Big Data analytics combined with simulations for live asset performance management. To view the video, visit here.
“This solution delivers on our Industry 4.0 vision for a network of digital twins to help our customers predict and improve asset performance and reliability with engineering insights,” said Hans Thalbauer, senior vice president for IoT and Digital Supply Chain, SAP. “We are enabling a virtual network for secure and distributed systems of record, real-time collaboration across the digital supply chain, new business model delivery and advanced analytics.”
SAP is designing its network of digital twins to synchronize in real time the virtual, physical, conditional and commercial definitions of assets and products. It is intended to help customers accelerate innovation, optimize operating performance conditions, predict service requirements, improve diagnostics and enhance decision-making throughout the value network.
Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as “anticipate,” “believe,” “estimate,” “expect,” “forecast,” “intend,” “may,” “plan,” “project,” “predict,” “should” and “will” and similar expressions as they relate to SAP are intended to identify such forward-looking statements. SAP undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SAP’s future financial results are discussed more fully in SAP’s filings with the U.S. Securities and Exchange Commission (“SEC”), including SAP’s most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
© 2018 SAP SE. All rights reserved.
SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices.