AI/ML based Smart Factory solution to enable real-time visibility into machine performance
Birlasoft MachineLogix is the foundation block for the development and implementation of a Smart Factory. MachineLogix leverages Azure native services such as Cognitive Services (AI and Machine Learning), IoT Hub, IoT Edge, Stream Analytics, Time Series, Databricks, etc. to enable real-time visibility into machine operations and related parameters, thereby improving Overall Equipment Effectiveness (OEE), Return on Asset (ROA), productivity and efficiency. It provides interfaces to connect with the Manufacturing Execution Systems (MES) for implementation of paperless manufacturing and other applications such as process quality, smart e-kanban, predictive maintenance, etc. The solution is extended to create machine digital twins for closed-loop performance across the life cycle of the asset.
MachineLogix Solution function and features:
• Real-time OEE visualization
• Reporting dashboards to view the status (over time) of the machine for a single day, or drill down for a detailed view
• Analyze OEE, MTBF/MTTR, energy consumptions, process & machine, tools parameters, part quality, historical and real-time trends for fault detection, identification, diagnostics
• Quality aware, maintenance aware, WIP bottleneck warning and immediate attention alerts and notifications by correlation heatmaps to rapidly discover hidden relationships between production parameters and quality, speed loss and downtime issues
• Insights to bring focus to the reasons for the most frequent downtimes to help avoid negative impact to the business
• Asset utilization and downtime statistics to help maximize usage of the asset at the right time
• Asset health index estimation and evaluation to trigger CBM schedule
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