SAP enables digital transformation in asset management
SAP SE has introduced SAP® Asset Intelligence Network and the SAP Predictive Maintenance and Service solution to help equipment manufacturers, service providers and asset operators benefit from the Internet of Things.
These will provide new insights and the ability for all stakeholders in asset management to move from a reactive to a more proactive approach.
Hans Thalbauer, general manager, Extended Supply Chain, SAP said: “We are now at a point where business challenges such as balancing cost, risk and performance meet technology enablers like in-memory analytics and cloud-based platforms for collaboration to initiate a quantum leap in operational excellence.
“Connectivity across the Internet of Things is helping machines talk to business information systems, and our new offerings provide the network and ability to take insight to outcome, creating a completely new digital asset lifecycle.”
SAP Asset Intelligence Network offers a single, global register of model and equipment information. The network provides a secure cloud platform to connect multiple business partners for inter- and intra-company collaboration in a central clearinghouse and communications hub. Using a cloud-based portal sharing standardized content helps ensure a consistent definition among business partners.
“I expect that every device we manufacture at Endress Hauser is automatically available with all relevant lifecycle information in the SAP systems of our customers,” said Klaus Endress, president of the Supervisory Board, Endress Hauser. “Appropriate information at the needed time is of unimaginable value because this improves the efficiency and therefore the results of the entire company.”
SAP Asset Intelligence Network permits SAP S/4HANA to facilitate business-to-business integration for asset data. With a common definition of equipment, greater transparency and common data, the network provides not only the collaboration platform for asset-related information but also the business context for predictive maintenance and service. Advanced analytics information for identifying and understanding trends can be shared across the network, and it is possible to notify both manufacturers and operators about imminent shortfalls or failures.
SAP Predictive Maintenance and Service Cuts Costs, Boosts Reliability
SAP Predictive Maintenance and Service is designed to help businesses decrease maintenance and service costs, while boosting availability and reliability of enterprise assets. Using predictive analytics on the SAP HANA® platform, the solution processes vast amounts of real-time operational data from sensors and smart assets.
SAP Predictive Maintenance and Service provides built-in capabilities that analyse sensor data and monitor equipment behaviour remotely for businesses in asset-intensive industries as well as original equipment manufacturers (OEMs) offering new service business models for their customers. The solution provides predictive models for machine learning and closed-loop integration with business systems to trigger corrective actions in service and maintenance systems to avoid unplanned downtimes.
“Being able to anticipate events and maintenance operations helps increase the efficiency and performance of our enterprise assets,” said Falko Lameter, CIO of Kaeser Kompressoren. “SAP Predictive Maintenance and Service enables us to align our products and services more closely with our customers’ use patterns and operating needs.”
Supply Chain Digital’s April issue is live.
Follow @MrNLon and @SupplyChainD on Twitter.
