Week of 24 Mar 2026
Press Line 5
92%
F16 Dies · 8 jobs
Press Line 2
78%
F12 Dies · 5 jobs
Paint Line 1
—
No jobs loaded
89%
Avg Utilisation
47
Schedules Run
13
Jobs This Week
Overview
Analytics
Calibration
Scenarios
Recent Runs
Upcoming Schedule Forecast
How the System Improves Over Time
1. Schedule
Optimiser generates sequence
→
2. Execute
Planners run, override if needed
→
3. Capture
Actual times + override reasons
→
4. Learn
Calibrate matrix, encode patterns
→
5. Improve
Better predictions, fewer overrides
Override rate: 78% (Jan) → 62% (Mar)·
Prediction error: ±0.8h (Jan) → ±0.3h (Mar)
Schedule History — Predicted vs Actual47 schedules
PeriodJobsFinal SequencePredictedActualDeltaEdits
Mar 24–2788.0h8.7h+0.7h1
Mar 20–2366.2h6.0h-0.2h2
Mar 16–19108.7h10.1h+1.4h3
Avg prediction error: +0.29h. 62% within ±0.3h.
3+ overrides average +1.1h above predicted.
62%override rate ↓ from 78%
Customer 38%
Shift 28%
Maint. 22%
Wire 12%
47 schedules · 29 overrides
Recent Overrides
DC
FG16A00 from pos 8 → pos 1
Shift handoverImpact: +47m
MK
FG16A00 pos 6 → pos 1
Customer priorityImpact: +32m
JP
FG16A13 added pos 9, FB16A00 removed
Die in maintenanceImpact: +85m
Detected Patterns
Monday Position-1
FG16A00 moved to pos 1 in 4 of 5 Monday schedules.
Confidence: 80%
Wire Exhaustion
David C. exhausts HW498-18150 before switching. ~15 min saved.
Confidence: 92%
Night Shift Conservative
Night overrides 23% more conservative.
Confidence: 74%
Emerging: Front-loaded Runs
4 data points — needs 6 more.
Confidence: 45%
Comparing static matrix against actuals. 6 transitions show >15% divergence.
Significant Divergences
Transition
Matrix / Actual / P80
FG16Z63 → FF16Z15
120 / 143 / 158m
23 pts · +19%
23 pts · +19%
FA16Z00 → FG16A00
120 / 145 / 162m
19 pts · +21%
19 pts · +21%
F16-AR01 → F16-ZR06
60 / 78 / 88m
28 pts · +30%
28 pts · +30%
Model changes to your plant — machines, people, matrix, job allocation — and see the cascading impact on schedules, timing, and ROI.
Machines & Lines
People & Shifts
Matrix & Tooling
Job Allocation
Impact Analysis
| Current | Modelled | Change |
|---|
Investment Required
£0
Capital expenditure
Payback Period
—
Weeks to recover investment
Schedule Impact Preview
8 jobs via SAP · 52.8h run · 66h capacity
Changeover
8.0h
across 7 transitions
Run Time
52.8h
305K units
Total Load
60.8h
of 66h capacity
Utilisation
92%
5.2h headroom
Optimised Sequence
Drag to reorder ·
Pin to Position 1
Priority Job (schedule early)
Defer to Next Period
Capacity Waterfall
Changeover Matrix
Die Network
Nodes are dies in this job set. Edges show changeover cost — green = same cluster (15m), grey/dashed = cross-cluster (60–120m), red = penalty (180m).
Administration
Lines & Machines
Data Sources
Changeover Matrix
Job Configuration
Algorithm & Settings
Press Line 5
Active
Press Line 2
Configured
Paint Line 1
Demo
SAP Work Orders
Connected
Business Central
Connected
Throughput Database
Active
Internal database recording actual run times per die. 1,247 records across all lines. Last synced: 2 min ago. Auto-captures from floor sensors.
Maintenance SystemNot connected
Connect your maintenance system to automatically exclude unavailable dies from schedules.
Select Line
Last updated: 15 Jan 2026
Clusters detected: 3 (auto from matrix values)
Calibration data points: 1,247
Clusters detected: 3 (auto from matrix values)
Calibration data points: 1,247
Drop matrix file (CSV, Excel, JSON) or click to browse
Current Matrix — F16
Job Configuration — Press Line 5
| Die ID | Wire/Material | Cluster | Batch | Run (hrs) | Priority | Due Date | Status |
|---|
Optimisation Settings
P50 uses median actual times where 20+ data points exist, falls back to matrix values.
Schedules below this confidence show a warning.
Notifications & Permissions
Email Notifications
User Roles
David C. — Planner
Mikko K. — Planner
Tero L. — View only