Plant-Wide Production Pareto
Scrap & downtime reasons, target vs actual — aggregated across all teams · October 3, 2026
Smart Analysis
Group the production data by any field (and optionally split or filter it) — the chart type and AI insights adapt automatically. Start by selecting a Group By field below.
Multiple values for the same field combine as OR; different fields combine as AND.
Select a “Group By” field to begin
Smart Analysis lets you slice the plant’s production data any way you choose, then generates an AI breakdown of what the selected data tells us and how to make it better.
Group & filter the data
Pick a Group By field (Reason Missed, Team, Shift, Part, Hour…), optionally Split By a second field, choose a Measure (Count, Downtime, Scrap, Actual, Target), and apply filters to focus the view.
The chart adapts automatically
Pareto for single-dimension concentration (the vital few), grouped bars for comparisons across a split, and trend lines when you group by Hour.
AI Insights explain the data
Generate a Synopsis of what the data shows, Key Findings (the vital few driving results), Ways to Improve (concrete actions to cut downtime/scrap and fix root causes), and Sustain the Gains (what to monitor so improvements stick).
Drill into the details
Click any bar to see the individual shift occurrences behind it.
Nothing is charted until you choose a Group By above.
Pareto Chart 1
Customize the Group By field, Measure, and bar color · cumulative % line identifies the vital few
- Count
- Cumulative %
Click any bar to see the raw entries grouped under it
Pareto Chart 2
Customize the Group By field, Measure, and bar color · cumulative % line
No data for selected range
Pareto Chart 3
Customize the Group By field, Measure, and bar color · build any view from the production data
- Downtime (min)
- Cumulative %
Click any bar to see the raw entries grouped under it
Actual vs Target by Team
- Target
- Actual
Downtime & Scrap by Team
- Downtime (min)
- Scrap
Team Performance Summary
| Team | Shifts | Actual | Target | Attainment | Variance | Downtime | Scrap |
|---|---|---|---|---|---|---|---|
| Module A Finishing | 12 | 56,520 | 227,165 | 25% | -170,645 | 2725 | 139 |
| Module C Finishing | 13 | 50,538 | 68,500 | 74% | -17,962 | 2672 | 637 |
| SWB | 15 | 49,349 | 23,578 | 209% | +25,771 | 872 | 50 |
| Module D Finishing | 13 | 36,080 | 83,200 | 43% | -47,120 | 2663 | 436 |
| Module B Finishing | 10 | 32,715 | 63,500 | 52% | -30,785 | 1455 | 234 |
| Op 30/35A | 15 | 31,703 | 22,625 | 140% | +9,078 | 2410 | 89 |
| Module E Finishing | 13 | 27,693 | 57,844 | 48% | -30,151 | 2935 | 59 |
| 50/60/65A | 15 | 15,689 | 36,825 | 43% | -21,136 | 3357 | 1170 |
| Op 30/35B | 6 | 15,553 | 22,320 | 70% | -6,767 | 666 | 17 |
| Module A Forge Press 1 | 2 | 15,290 | 27,000 | 57% | -11,710 | 387 | 60 |
| Op45A | 15 | 15,142 | 30,119 | 50% | -14,977 | 2754 | 621 |
| L8T | 14 | 14,566 | 27,724 | 53% | -13,158 | 3956 | 1289 |
| Module C Compacting | 3 | 14,425 | 17,280 | 83% | -2,855 | 148 | 19 |
| Module A Compacting | 6 | 13,960 | 34,560 | 40% | -20,600 | 975 | 34 |
| Op 20-7 | 15 | 13,536 | 11,654 | 116% | +1,882 | 1462 | 69 |
| Module D Compacting | 3 | 11,553 | 17,280 | 67% | -5,727 | 63 | 42 |
| B-Line Op 105 WL | 3 | 10,195 | 11,232 | 91% | -1,037 | 220 | 291 |
| Module C Forge Press 1 | 1 | 5,321 | 13,500 | 39% | -8,179 | 296 | — |
| Op 20-5 | 12 | 5,261 | 12,692 | 41% | -7,431 | 1673 | — |
| Module B Forge Press 1 | 1 | 4,950 | 13,500 | 37% | -8,550 | 330 | — |
| Op 20-6 | 15 | 4,192 | 15,840 | 26% | -11,648 | 3789 | 1 |
Breakdown by Shift
| Shift | Actual | Target | Attainment | Downtime | Scrap |
|---|---|---|---|---|---|
| 1st Shift | 148,242 | 233,390 | 64% | 11367 | 3157 |
| 2nd Shift | 156,733 | 290,094 | 54% | 12088 | 1389 |
| 3rd Shift | 139,256 | 314,454 | 44% | 12353 | 711 |
Breakdown by Part Number
| Part # | Runs | Actual | Target | Attain. | Downtime | Scrap |
|---|---|---|---|---|---|---|
| 3119 | 92 | 96,690 | 146,433 | 66% | 18052 | 3089 |
| 3095 | 18 | 82,820 | 119,880 | 69% | 3367 | 716 |
| 3252 | 24 | 75,097 | 57,130 | 131% | 1758 | 358 |
| 2947 | 13 | 37,994 | 83,200 | 46% | 2389 | 436 |
| 3180 | 11 | 37,665 | 77,000 | 49% | 1785 | 234 |
| 3233 | 13 | 37,199 | 163,060 | 23% | 2460 | 70 |
| 3237 | 3 | 28,855 | 86,400 | 33% | 715 | 35 |
| 3251 | 13 | 27,693 | 57,844 | 48% | 2935 | 59 |
| 5760 | 3 | 11,553 | 17,280 | 67% | 63 | 42 |
| unknown | 1 | 3,731 | 3,000 | 124% | 175 | 39 |
| 3114 | 3 | 2,631 | 4,912 | 54% | 809 | 95 |
| 3480 | 1 | 840 | 6,400 | 13% | 410 | — |
| 3/19 | 3 | 768 | 2,966 | 26% | — | 55 |
| Not specified | 1 | 695 | 9,265 | 8% | 350 | 29 |
| 3119 / 20-6 | 3 | 0 | 3,168 | 0% | 540 | — |