Manufacturing Ops Asset Performance Management

Manufacturers constantly face productivity losses, due to lower overall equipment efficiencies (OEE) which leads to the deterioration of operation excellence (OE).

Apexon’s AI-based, real-time asset performance management accelerator helps address these challenges to increase asset uptime and improve overall efficiency.

This accelerator brings these 7 core feature sets :

• Data Collection: Data collection from IoT devices, edge devices, and companion applications
• Events: Customize events and alerts to monitor and analyze issues and failures
• KPI Monitoring: Customize key performance indicators (KPIs), events, and alerts to monitor and analyze issues and failures
• Dashboards & Reports: Business KPIs monitoring and management
• Predictive & Preventive: Real-time dashboards and operational reports
• Real-time: Insights and maintenance
• Monitoring and Management: Asset, device, application, and support

To address these key challenges in asset performance management :

• Unforeseen downtime: Outages resulting from breakdown of critical assets
• Inefficient Operations: Siloed monitoring approach and lack of real-time insights result in subpar manufacturing ops
• Unplanned Costs & Impact on Sales: Outages not just result in heavy maintenance costs but also result in loss of sales

While delivering Key tenets & benefits:

• Cost Savings: Correlate asset performance with overall operation excellence (OE), Higher customer trust and satisfaction
• Real-time tracking: Customizable real-time dashboards and reports for simplified defect tracking, Real-time alerts with performance thresholds
• Efficient Ops: Increase uptime of the asset and improve overall efficiency, Increase in productivity and profit
• Preventive: AI models to identify abnormalities and prioritize preventive maintenance of assets to avoid unplanned outages

Our infrastructure is powered by a suite of key AWS services, including IoT Greengrass, IoT Core, Kinesis Data Firehose, Kinesis Data Analytics, Lambda, Timestream, DynamoDB, S3, Sagemaker, Glue, Redshift, API Gateway, and Cloudfront. This strategic integration ensures seamless communication, real-time data processing, serverless computing, efficient storage, machine learning capabilities, and comprehensive API management, collectively optimizing our operational efficiency and innovation.