Stream: Agents in Action
Reliability Centered Maintenance relies heavily on large amounts of master and transactional data. Interventions, preventative services and inspections often record results in unstructured formats due to the fact that often specialists vendors are used who document damage, cause and actions in their own formats in Excel, Word, PDF, pictures etc.
AI can help to structure and profile the data, analyse patterns, predict breakdowns, prescript changes to maintenance plans or interventions or campaigns. This allows the organisation to shift from a corrective and preventative to predictive and prescriptive strategies as well as improve KPIs like MTBF, MTTR, OEE and Reliability%
A demonstration of the agent will be given to demonstrate the capabilities and possibilities.
The session will showcase a range of predictive maintenance use cases, including anomaly detection through the analysis of SAP process data, classification of plant maintenance orders to distinguish between effective and ineffective maintenance activities and identification of data quality and governance gaps across catalogue profiles, master data and related datasets.
It will also cover the underlying technologies, the solution architecture and how the SAP Business AI Platform can be leveraged to design, deploy and scale these predictive maintenance solutions.
Attendees will gain an understanding of the features of Predictive maintenance agents developed by Applexus