OEE Performance Monitor

Understand what's limiting your equipment effectiveness

Manufacturing plants lose millions annually to equipment inefficiencies that go undiagnosed until month-end reviews.

OEE falls below 85% (or your plant-specific target) for a production line
Availability drops more than 5 percentage points from the rolling 7-day average
OEE summary by line -- current OEE with availability, performance, and quality breakdown
Downtime log -- categorized stops with duration, reason codes, and timestamps

Production Line A - Morning Shift

OEE below threshold • Investigation needed

74%
Availability
92%
Performance
85%
Quality
94%
Units Produced
2,847-156 vs target
Downtime Breakdown
Equipment40%
Changeover25%
Material20%
Root Causes
Speed lossesQuality rejectsPM schedule

Built for operations teams
who demand accuracy

Manufacturing plants lose millions annually to equipment inefficiencies that go undiagnosed until month-end reviews.

Plant Managers overseeing daily production operations

Output optimization

Production Supervisors responsible for line

level performance

Continuous Improvement Managers driving operational excellence initiatives

Deep, consistent analysis

Operations Directors tracking performance across multiple facilities

Portfolio-wide oversight

From alert to action in minutes

The objective of this agent is to increase equipment effectiveness by identifying loss drivers.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • OEE falls below 85% (or your plant-specific target) for a production line
  • Availability drops more than 5 percentage points from the rolling 7-day average
  • Quality rate declines below 99% on critical product lines
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • OEE summary by line -- current OEE with availability, performance, and quality breakdown
  • Downtime log -- categorized stops with duration, reason codes, and timestamps
  • Cycle time analysis -- actual vs. ideal cycle times by product and line
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Identify the primary loss category -- Compares availability, performance, and quality against targets to determine which component is most responsible for the OEE gap.
  • Analyze availability losses -- If availability is the driver, examines the downtime log to identify top reason codes (breakdowns, changeovers, material shortages, operator absence) and calculates minutes lost per category.
  • Investigate performance losses -- If performance is lagging, analyzes cycle time data to find products or time periods with speed losses, minor stops, or idling events.
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary -- One-paragraph overview of which lines triggered alerts and the primary loss driver
  • OEE breakdown -- Current availability, performance, and quality vs. targets with variance highlighted
  • Top loss drivers -- Ranked list of specific causes (e.g., "Unplanned downtime: conveyor jam--47 minutes") with estimated production impact
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for operations teams

Concrete, measurable value for your team from day one

Lower Loss

Faster response -- Before: OEE issues surfaced in weekly reports, days after losses occurred

Now: alerts within minutes of threshold breach, enabling same-shift corrective action.

Lower Loss

Clear loss attribution -- Pinpoint whether availability, performance, or quality is responsible, then drill into specific causes--no more guessing why OEE dropped.

Early Warning

Reduced downtime -- By catching recurring equipment faults early, maintenance teams can address issues before they escalate--typical improvement of 10-20% reduction in unplanned downtime (example based on industry patterns).

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

MES (Manufacturing Execution System) -- Production counts, cycle times, shift schedules, product routing
CMMS (Computerized Maintenance Management System) -- Downtime logs, reason codes, work orders, PM schedules
Quality Management System -- Defect records, scrap/rework data, inspection results
Historian or SCADA data (optional) -- Real-time equipment signals for granular cycle time and state data
Availability
Performance
Quality
Downtime
Line
OEE

Ready to explore OEE Performance Monitor?

Fully customizable to your workflows, data sources, and business requirements.

Typical initial implementation in weeks, not months.