Maximizing Factory Performance with Edge-Based Intelligence

The MicroAI FMS AI Agent integrates real-time data, predictive analytics, and intelligent automation to maximize observability, boost productivity, and reduce costs.

Impact

Improve factory output by

20%

Reduce maintenance costs by

30%

Improve inventory demand accuracy by

30%

Reduce line stoppages by

40%

Reduce CoS by

7%

Factory Solution for AI-Enabled Industrial Infrastructure

OEE Loss Prevention

insights into equipment performance, downtime causes, and bottlenecks

Root Cause Identification

Solve underlying problems, not just symptoms

Security and Monitoring

Real time zero-day hack detection

GenAI

Recommended actions & summarization to improve decision-making

Shift Change Analytics

Ensure seamless information transfer and issue resolution

Predictive Maintenance

Real-time data for proactive decisions

Tiny Footprint, Huge Impact

Sustained Consistency

Continuous, real-time, analysis of production data to identify bottlenecks, idle time, or suboptimal workflows and provision of insights for improvements. Insights that improve consistency across shifts and factories.

Reduced Downtime

Machine data is used to predict when maintenance is actually needed—reducing unplanned downtime compared to fixed, time-based schedules.

Optimized Quality

AI-enabled closed-loop fault detection, insight generation, and effectivity validation ensures that quality issues are quickly identified and mitigated. Insight-fueled corrective measures prevent recurrence.

Inventory Predictability

Intelligent forecasting prevents costly excess inventory as well as production stoppages resulting from stock-outs. Inventory levels are optimized based on accurate demand projections.

Reduced Production Cost

Reduced downtime + increased output + less rework + improved forecasting = lower CoGS.

Who Benefits from the Data Modeling Agent?

Operations Managers: “Eventhough we have a high level of automation we still lack the ability to glean real-time insights from our machines and lines. We could use more intelligence”.
Biggest Stressor: Being too reactionary. Not being able to predict conditions on the floor.
Maintenance Engineers: “We are still using preventive maintainance on our machines. Many times our lines are stopped for maintenance that was unecessary”.
Biggest Stressor: Worrying that production quotas will be missed due to uneeded maintenance.
Quality Control Teams: “Our first-pass yields have been stuck in the low 90’s. We still spend too much time and money on rework. It has been difficult to identify the appropriate corrective measures”.
Biggest Stressor: Tying to improve quality without being able to drill into root causes.
Production Planners: “There is too much variance in the accuracy of our forecasts. It seems we are always either under capacity or over capacity”.
Biggest Stressor: Trying to balance capacity planning to match shifting demand.
Supply Chain Managers: “Our supply chain is complex and diverse. We lack the AI-enabled insights needed to effectively manage and optimize our vendors and our inventory”.
Biggest Stressor: Worring that we we will run out of invetory on a critical item.

Factory Management – at the Very Edge

Factory transparancy

Real-time observability into all mission-critical aspects of factory performance and health.

Local analysis

Machine, line, and shift performance data is synthesized and analyzed locally—in real time. Sensitive data is also stored locally, minimizing the amount of data that is transferred to the cloud.

Predictive insights

Predictive analytics that mitigate the impact of performance issues and that enable a transition to predictive maintenance.

Multiple factory integration

Can be integrated into a single factory or scaled across an entire network of factories, creating a network of intelligence.

Rapid deployment

A lightweight, small footprint, AI-enabled Agent that can be rapidly deployed and quickly scaled.

Download our FMS Agent and start maximizing your factory.
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