Overview
Overview of Oracle Adaptive Intelligent Apps for Manufacturing
Oracle Adaptive Intelligent Apps for Manufacturing (AIAMFG) collects, stores, prepares, and analyzes massive amounts of operational technology data coming from shop floor systems such as equipment, machines, sensors, and test stations and then contextualizes it with information technology data coming from business applications such as Supply Chain Management (SCM), Enterprise Resource Planning (ERP), Human Capital Management (HCM), and Customer Relationship Management (CRM). AIAMFG then analyzes the data by applying machine learning, data mining, and artificial intelligence techniques to discover key patterns and correlations that affect manufacturing efficiencies and provides actionable predictive analytics to maximize yield and minimize defects, scrap, cycle times, costs, and related parameters that impact or improve the manufacturing process. It also provides comprehensive capabilities for backward and forward tracing of products and processes within manufacturing and the supply chain, spanning manpower, machine, material, method and management aspects to facilitate rapid root cause, impact and containment analysis.
AIAMFG provides four modules with advanced analytical capabilities.
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Insights
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Predictions
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Genealogy and Trace
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Factory Command Center
Data ingestion provides users with the ability to upload structured enterprise and semi-structured sensor data into AIAMFG using comma separated values (CSV) file templates. Users can import data from third-party applications, enabling companies using any ERP application to take full advantage of the AIAMFG features. Oracle provides out-of-the-box integrations that use Oracle Data Pump and Oracle GoldenGate for E-Business Suite (EBS) customers who implement AIAMFG.