OEE Dashboard

The OEE Dashboard is the primary analysis screen for production supervisors. It provides a complete OEE breakdown for a single piece of equipment over a configurable time range, combining gauges, waterfall charts, production trends, and downtime analysis in one view.

Filters

The filter bar at the top controls all data on the page.

Equipment selection

Use the Equipment dropdown to select one production line or machine. The dashboard loads data for the selected equipment only. If no equipment is selected on first load, the dashboard picks the first available one automatically.

Time range

Two modes are available:

1. Time preset: select from predefined ranges (Today, Yesterday, This Week, Last 7 Days, This Month, Last Month, etc.). Presets are stored in the database and respect your browser's timezone.

2. Custom range: enter a specific start and end date/time using the date pickers. Custom range is activated when no preset is selected, or when you manually enter dates.

info

The time preset dropdown shows presets from the database table m_time_preset. Your administrator can add custom presets (e.g., "Last Shift", "This Quarter") without any code change.

Auto-refresh

Toggle the Auto-refresh switch to keep the dashboard updating periodically. This is useful when displaying the dashboard on a shop floor monitor.

KPI gauges

Four gauges at the top provide an instant summary:

Gauge	Formula	Description
OEE	A x P x Q	Overall Equipment Effectiveness
Availability	Run Time / Planned Production Time	How much of the planned time was the equipment running
Performance	(Ideal Cycle Time x Total Pieces) / Run Time	How close to ideal speed was production
Quality	Good Pieces / Total Pieces	What fraction of output met quality standards

Dynamic thresholds

Each gauge's color zones are derived from the equipment's configured objectives in OEE Configuration:

• Green: at or above the objective (e.g., ≥ 85%)
• Yellow: between 88% and 100% of the objective
• Orange: between 70% and 88% of the objective
• Red: below 70% of the objective

If no objective is configured, default thresholds are used.

tip

Set per-metric objectives (Availability, Performance, Quality) in the OEE Configuration section for each equipment. The OEE objective is automatically calculated as their product.

Waterfall chart

The waterfall chart visualizes how total available time is consumed, step by step:

Each bar in the waterfall represents a category of time loss. The chart uses three visual layers:

Layer	Color	Meaning
Time	Blue	Actual productive or scheduled time
Schedule Loss	Grey	Time outside the planned production schedule
Loss	Red/Orange	Time lost to downtime, speed, or quality issues

This visualization makes it immediately clear where the biggest improvement opportunities lie. If the "Unplanned Downtime" bar dominates, focus on reliability. If "Performance Loss" is largest, investigate speed losses.

Production trend

A line chart showing cumulative piece counts over the selected time range:

Line	Description
Actual production (solid)	Pieces actually produced, accumulated over time
Theoretical maximum (dashed)	What could have been produced at ideal speed with zero stops
Objective (dotted)	The production target from the equipment's configuration

The gap between the actual line and the theoretical maximum represents the total loss. If the actual line plateaus (goes flat), it indicates the equipment was stopped during that period.

Activity trend

A time-series chart with three data series controlled by a bitmask:

Series	Description
Running state	Binary signal (1 = running, 0 = stopped) shown as a step chart
Production increments	Piece count steps; each step up is a produced piece
Waste increments	Reject count steps; each step up is a rejected piece

This chart is useful for identifying patterns: correlating production stops with reject spikes, or spotting micro-stops that are too short to appear in the downtime log.

Summary statistics

Below the charts, a statistics section shows:

Metric	Description
Total pieces produced	Sum of all pieces in the period
Good pieces	Pieces that passed quality checks
Reject pieces	Pieces that failed quality checks
Total downtime events	Number of separate downtime occurrences
MTTR	Mean Time To Repair: average downtime event duration
MTBF	Mean Time Between Failures: average time between downtime events

Downtime breakdown

Two additional views break down downtime:

Top downtime reasons

A ranked list (or bar chart) of the most significant downtime reasons by total duration. This helps prioritize which issues to address first for the biggest OEE improvement.

Events by loss type

A doughnut or bar chart showing how downtime events are distributed across loss categories:

• Planned Downtime: scheduled maintenance, changeovers
• Unplanned Downtime: breakdowns, jams, supply issues
• Outside Area: events attributed to areas outside the equipment's control

API reference

The OEE Dashboard is powered by five REST API endpoints:

Endpoint	Purpose
GET /api/production/oee/dashboard/calculate	Full OEE calculation for one equipment
GET /api/production/oee/dashboard/waterfall	Waterfall time breakdown
GET /api/production/oee/dashboard/production-trend	Cumulative production trend data
GET /api/production/oee/dashboard/activity-trend	Running state, production, and waste increments
GET /api/production/oee/dashboard/equipment-overview	Multi-equipment summary (used by Equipment Overview)

All endpoints require equipment_id, start, and end parameters and enforce equipment permissions.

Related pages

• OEE Performance: deep dive into speed and cycle time losses
• OEE Quality: detailed reject and scrap analysis
• Downtime Operator Screen: log and validate downtime events
• Equipment Overview: compare OEE across multiple lines
• OEE Configuration: configure objectives, cycle times, and schedules

Prerequisites

• Production Overview
• Introduction: get the overall picture of OpSee

Next steps

• OEE Performance
• Production Overview