Analytics & Reports Guide

Attainment Tracker’s analytics and reporting tools help you turn production data into actionable insights. This guide covers everything from basic reports to advanced analytics.

📸 Screenshot needed: Analytics dashboard showing multiple charts and metrics

Analytics Overview

What’s Included

Attainment Tracker provides analytics across four key areas:

1. Production Performance: Output, efficiency, and attainment
2. OEE Analysis: Availability, performance, and quality breakdown
3. Downtime Intelligence: Root cause analysis and trends
4. Quality Metrics: Scrap, rework, and first pass yield

Accessing Analytics

Dashboard Analytics (Quick insights)

• Navigate to 🏠 Dashboard
• View real-time widgets and charts
• Perfect for daily monitoring

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Dedicated Analytics (Deep dives)

• Navigate to 📊 Analytics
• Access comprehensive reports and visualizations
• Filter, drill down, and export data

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Key Performance Metrics

Understanding OEE (Overall Equipment Effectiveness)

OEE is a widely used metric for measuring manufacturing productivity:

OEE = Availability × Performance × Quality

📸 Screenshot needed: OEE calculation breakdown visual

Availability

What it measures: Is the equipment running when it should be?

Availability = (Planned Production Time - Downtime) / Planned Production Time

Example:

• Shift: 8 hours (480 minutes)
• Breaks: 30 minutes (planned)
• Downtime: 45 minutes (unplanned)
• Available time: 480 - 30 = 450 minutes
• Availability = (450 - 45) / 450 = 90%

📸 Screenshot needed: Availability calculation with visual timeline

Performance

What it measures: Is the equipment running at its optimal speed?

Performance = (Ideal Cycle Time × Total Parts) / Available Time

Example:

• Ideal cycle time: 60 seconds per part
• Parts produced: 360
• Available time: 405 minutes (24,300 seconds)
• Performance = (60 × 360) / 24,300 = 89%

📸 Screenshot needed: Performance calculation with chart

Quality

What it measures: How many parts are good on first pass?

Quality = Good Parts / Total Parts

Example:

• Total parts: 360
• Scrap: 12
• Rework: 8
• Good parts: 360 - 12 - 8 = 340
• Quality = 340 / 360 = 94%

📸 Screenshot needed: Quality calculation with defect breakdown

Overall OEE

Complete Example:

OEE = 90% × 89% × 94% = 75.4%

OEE Reference Ranges:

• < 65%: Below average - significant improvement needed
• 65-75%: Industry average - room for improvement
• 75-85%: Good - keep optimizing
• 85-95%: World-class - maintain excellence
• > 95%: Outstanding - share your practices!

📸 Screenshot needed: OEE gauge with reference zones color-coded

Production Metrics

Attainment

Attainment = Actual Production / Target Production × 100%

Shows if you’re meeting production targets.

📸 Screenshot needed: Attainment chart showing actual vs. target

Throughput

• Parts per hour/shift/day
• Trend over time
• Comparison between cells/departments

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Cycle Time

• Actual vs. ideal cycle time
• Variation analysis
• Identify bottlenecks

📸 Screenshot needed: Cycle time distribution histogram

Downtime Metrics

Total Downtime

• Unplanned downtime hours
• Planned downtime (changeovers, maintenance)
• Downtime as % of available time

📸 Screenshot needed: Downtime stacked bar chart (planned vs unplanned)

MTBF (Mean Time Between Failures)

MTBF = Total Operating Time / Number of Failures

Higher is better - equipment is more reliable.

MTTR (Mean Time To Repair)

MTTR = Total Repair Time / Number of Repairs

Lower is better - faster problem resolution.

📸 Screenshot needed: MTBF and MTTR trend lines

Quality Metrics

Scrap Rate

Scrap Rate = Scrapped Parts / Total Parts × 100%

Rework Rate

Rework Rate = Reworked Parts / Total Parts × 100%

First Pass Yield

FPY = Good Parts (first time) / Total Parts × 100%

📸 Screenshot needed: Quality metrics dashboard with all three rates

Pre-Built Reports

Attainment Tracker includes ready-to-use reports for common needs.

Production Reports

📸 Screenshot needed: Reports library showing all available reports

Daily Production Summary

What it shows:

• Parts produced by cell
• Target vs. actual
• Attainment percentages
• Top performers

Best for: Morning production meetings

📸 Screenshot needed: Daily production summary report

Shift Comparison Report

What it shows:

• Production by shift (day, afternoon, night)
• OEE by shift
• Common issues by shift
• Operator efficiency by shift (aggregated)

Best for: Identifying shift-specific issues

📸 Screenshot needed: Shift comparison with side-by-side metrics

Cell Performance Overview

What it shows:

• All cells ranked by OEE
• Color-coded performance tiers
• Trend indicators (improving/declining)
• Bottleneck identification

Best for: Resource allocation and improvement prioritization

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OEE Reports

OEE Breakdown Report

What it shows:

• OEE components (Availability, Performance, Quality)
• Biggest loss areas
• Improvement opportunities
• Historical trends

📸 Screenshot needed: OEE breakdown waterfall chart

OEE Trend Analysis

What it shows:

• OEE over time (daily/weekly/monthly)
• Trend lines and moving averages
• Seasonal patterns
• Impact of improvement initiatives

Best for: Tracking improvement over time

📸 Screenshot needed: OEE trend line with annotations

Downtime Reports

Downtime Pareto Analysis

What it shows:

• Downtime reasons ranked by frequency
• Cumulative percentage line
• Top causes (80/20 rule)

Best for: Prioritizing improvement efforts

📸 Screenshot needed: Pareto chart with downtime categories

Downtime Root Cause Report

What it shows:

• Detailed downtime events
• Duration, frequency, and cost
• Operator notes and context
• Recurring patterns

Best for: Deep-dive problem solving

📸 Screenshot needed: Root cause analysis table with drill-down

Quality Reports

Quality Defect Analysis

What it shows:

• Types of defects by frequency
• Defect rates by part number
• Defect trends over time
• Cost of poor quality

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First Pass Yield Report

What it shows:

• FPY by cell, part, shift
• Reference comparisons
• Improvement opportunities

📸 Screenshot needed: FPY comparison bar chart

Custom Report Builder

Create reports tailored to your specific needs.

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Creating a Custom Report

Step 1: Choose Report Type

1. Go to 📊 Analytics → Reports
2. Click + Create Custom Report
3. Select report type:
   • Table Report: Detailed data in rows/columns
   • Chart Report: Visual graphs and charts
   • Dashboard: Multiple widgets on one page
   • Scorecard: Key metrics summary

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Step 2: Select Data Source

Choose what data to include:

• Cells: Select specific cells or all cells
• Date Range: Today, Yesterday, Last 7 days, Last 30 days, Custom
• Shift: All shifts, specific shift, compare shifts
• Part Numbers: All parts, specific parts
• Operators: Aggregated data only (privacy-protected)
• Department: Filter by department

📸 Screenshot needed: Data source filters

Step 3: Choose Metrics

Select which metrics to display:

Production Metrics:

• Parts Produced
• Target Production
• Attainment %
• Throughput (parts/hour)
• Cycle Time
• Runtime Hours

OEE Metrics:

• Overall OEE
• Availability %
• Performance %
• Quality %

Downtime Metrics:

• Total Downtime
• Downtime by Reason
• MTBF
• MTTR
• Downtime Cost

Quality Metrics:

• Scrap Count & Rate
• Rework Count & Rate
• First Pass Yield
• Cost of Quality

📸 Screenshot needed: Metrics selection checkboxes

Step 4: Configure Visualization

For chart reports, choose:

• Chart Type: Line, Bar, Pie, Area, Scatter
• X-Axis: Time, Cell, Part, Shift, etc.
• Y-Axis: Selected metric
• Grouping: Color by cell, shift, department
• Trend Lines: Show moving average, linear trend

📸 Screenshot needed: Chart configuration options

Step 5: Add Filters & Grouping

Filters:

• Set threshold filters (e.g., only show OEE < 75%)
• Exclude specific cells or parts
• Filter by status (active, down, etc.)

Grouping:

• Group by department
• Group by shift
• Group by cell type
• Group by part family

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Step 6: Schedule & Share

Scheduling:

• Run once, or schedule recurring
• Frequency: Daily, Weekly, Monthly
• Time: Specific time of day
• Auto-email to recipients

Sharing:

• Save to shared reports library
• Set permissions (who can view/edit)
• Export format: PDF, Excel, CSV

📸 Screenshot needed: Schedule and share options

Interactive Analytics Features

Drill-Down Analysis

Click any data point to drill deeper:

Example: Low OEE Cell

1. View cell with 65% OEE
2. Click to drill down
3. See OEE breakdown (Availability, Performance, Quality)
4. Click Availability (lowest component)
5. See downtime reasons contributing to low availability
6. Click specific downtime reason
7. View individual downtime events with operator notes

📸 Screenshot needed: Drill-down flow visualization

Comparison Views

Compare performance across dimensions:

Cell-to-Cell Comparison

• Side-by-side metrics for multiple cells
• Identify best practices to replicate
• Spot outliers for investigation

📸 Screenshot needed: Cell comparison side-by-side bars

Time Period Comparison

• This week vs. last week
• This month vs. last month
• This year vs. last year

📸 Screenshot needed: Time comparison overlaid lines

Shift Comparison

• Day shift vs. afternoon vs. night
• Weekday vs. weekend
• Identify shift-specific issues

📸 Screenshot needed: Shift comparison grouped bars

Trend Analysis

Identify patterns and predict future performance:

Moving Averages

• 7-day moving average
• 30-day moving average
• Smooths out daily variation

Trend Lines

• Linear regression
• Shows overall direction
• Predicts future values

Seasonal Patterns

• Day of week effects
• Monthly patterns
• Holiday impacts

📸 Screenshot needed: Trend analysis with multiple overlays

Exporting & Sharing Reports

Export Formats

PDF Export

• Professional formatted document
• Include company logo and branding
• Perfect for printing or archiving
• Maintains charts and formatting

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Excel Export

• Full data table export
• Multiple sheets for complex reports
• Enables further analysis
• Pivot tables and formulas

CSV Export

• Raw data export
• Import into other systems
• Lightweight format

Image Export

• PNG or JPG
• Individual charts
• For presentations or documentation

Sharing Options

Email Reports

• Send one-time or scheduled
• Add custom message
• Multiple recipients
• Attachments in chosen format

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Share Link

• Generate secure link
• Read-only access
• Set expiration date
• Track views

Report Library

• Save to shared library
• Set folder organization
• Permissions by role
• Version history

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Advanced Analytics

Correlation Analysis

Find relationships between variables:

Example Questions:

• Does high temperature correlate with more scrap?
• Do certain shifts have more specific downtime types?
• Which parts have longest cycle time variation?

📸 Screenshot needed: Correlation matrix heatmap

Anomaly Detection

Attainment Tracker automatically flags unusual patterns:

• Sudden drop in OEE
• Spike in scrap rate
• Unusual downtime pattern
• Unexpected low production

📸 Screenshot needed: Anomaly alert visualization

Predictive Analytics (Advanced)

Forecast future performance based on historical data:

• Predicted maintenance needs
• Estimated production capacity
• Resource planning
• Inventory forecasting

📸 Screenshot needed: Predictive chart with confidence intervals

Mobile Analytics

Access analytics on the go from your phone or tablet.

📸 Screenshot needed: Mobile analytics dashboard

Mobile Features:

• Real-time dashboards
• Key metrics at a glance
• Push notifications for alerts
• Quick filters (today, this week)
• Export and share

Optimized for Mobile:

• Touch-friendly charts
• Simplified navigation
• Offline viewing of cached reports
• Portrait and landscape modes

Analytics Best Practices

✅ Do’s

1. Review daily - Check key metrics every morning
2. Set reference points - Know what “good” looks like
3. Track trends - Focus on direction, not single data points
4. Drill down - Don’t stop at surface-level metrics
5. Share insights - Distribute reports to relevant teams
6. Act on data - Analytics without action is wasteful
7. Schedule regular reports - Automate recurring needs

❌ Don’ts

1. ❌ Analysis paralysis - Don’t get lost in the data
2. ❌ Cherry-picking data - Look at full picture
3. ❌ Ignoring context - Consider external factors
4. ❌ Blaming operators - Focus on system improvements
5. ❌ Too many reports - Keep it focused and actionable
6. ❌ Infrequent review - Old data has limited value

Report Examples by Role

For Plant Managers

Daily Report: Production summary with OEE by department

Weekly Report: Trend analysis and improvement tracking

Monthly Report: Executive scorecard with financial impact

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For Supervisors

Shift Handoff Report: End-of-shift summary for next supervisor

Daily Performance Report: Cell-by-cell detailed metrics

Issue Tracking Report: Open problems requiring attention

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For Maintenance Teams

Downtime Report: Equipment issues requiring maintenance

MTBF/MTTR Report: Reliability metrics by machine

Preventive Maintenance Report: Upcoming PM schedules

📸 Screenshot needed: Maintenance downtime report

For Quality Teams

Defect Analysis Report: Quality issues by type and cell

First Pass Yield Report: FPY trends and problem areas

Cost of Quality Report: Financial impact of quality issues

📸 Screenshot needed: Quality metrics dashboard

Getting Started with Analytics

Week 1: Establish Baseline

• Run daily production summary
• Review OEE for each cell
• Identify current performance levels
• Share results with team

Week 2: Deep Dive

• Run downtime Pareto analysis
• Identify top 3 loss areas
• Review quality metrics
• Set improvement targets

Week 3: Track Progress

• Compare week 3 to week 1
• Monitor improvement initiatives
• Adjust targets as needed
• Celebrate wins

Ongoing: Continuous Improvement

• Daily review of key metrics
• Weekly trend analysis
• Monthly performance reviews
• Quarterly strategic planning

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Quick Reference: Common Reports

Report Name	When to Use	Key Insights
Daily Production Summary	Every morning	Are we on track today?
OEE Breakdown	Weekly	Where are our biggest losses?
Downtime Pareto	Monthly	What should we fix first?
Quality Defect Analysis	When scrap increases	What’s causing defects?
Shift Comparison	When shifts differ	Why does one shift outperform?
Cell Performance Overview	Resource allocation	Which cells need attention?
Trend Analysis	Progress tracking	Are improvements working?

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Need Help with Analytics?

• Training Videos: Step-by-step report tutorials
• Support Chat: Get help interpreting data
• Best Practices Guide: Industry references and tips
• Email Support: analytics@swiptools.com

📸 Screenshot needed: Analytics help resources page