Manufacturing

Live OEE and production dashboards your floor can actually use

Manufacturing analytics software that connects to your MES, ERP, or SQL historian — including SAP, Epicor, Infor, and Plex. Track cycle time, defect rates, and line performance in real-time. Visible to operators, supervisors, and plant managers at once, without adding BI seats for everyone.

Plant Floor — Current Shift ● LIVE Line ▾ Shift ▾ Product ▾ OEE — AVG 82.4% ▲ Target: 80% UNITS / SHIFT 9,284 of 10,400 target DEFECT PPM 1,820 ▼ Below 2,500 limit DOWNTIME 28m ▲ +8m unplanned OEE by Line — Current Shift Target 80% Line A 87% Line B 83% Line C 77% Line D 68% ⚠ ⚠ Line D below OEE threshold — Unplanned downtime: 20m · Supervisor notified

Sound familiar?

Shift reports that arrive after the shift

By the time the OEE report lands in email, the problems it describes are hours old. You're always analyzing the last shift, not the current one.

MES, ERP, and historian don't talk

Production data is in the MES. Maintenance is in the ERP (SAP, Epicor, Infor, Plex). Quality is in a spreadsheet. No one has the full picture without hours of manual stitching.

Defects found at the end of the line

Quality issues that show up in cycle time variance or defect PPM trends are invisible until the end-of-run inspection. Catching them early requires real-time process monitoring.

BI tools priced per seat that never reach the floor

Enterprise BI licenses are built for analysts, not operators. Paying $70/month per seat to give every supervisor and line lead a view isn't how the budget gets approved.

How DashboardFox works for manufacturing

Query your production database directly — SQL Server, Oracle, PostgreSQL, or via ODBC to SAP, Epicor, Infor, or Plex. Build the charts your engineers actually use. Share them without adding to the BI bill.

Combo Charts

Units produced and OEE on the same view — different axes

Bar + line combo charts let you overlay production volume against efficiency metrics. See if you're hitting unit targets while OEE drifts, or spot the shift where throughput drops as defects rise.

  • Left axis for volume, right axis for %, no scale conflicts
  • Daily, shift, or weekly rollups from the same dataset
  • Overlay target reference lines for instant pass/fail context
Units Produced vs OEE — Last 7 Shifts 0 1K 2K 3K 60% 75% 87% 95% OEE Target 80% Mon-D Mon-A Mon-N Tue-D Tue-A Tue-N Wed-D Units Produced OEE %
Machine Speed vs Defect Rate 0.1% 0.4% 0.8% 1.2% 200 280 360 420 Machine Speed (units/hr) Line A Line B Line C Line D
Scatter Plots

Find the speed-quality tradeoff hiding in your process data

Scatter plots reveal relationships your summary tables miss. Plot machine speed against defect rate and instantly see which lines hold quality at pace — and which ones don't.

  • Color-code points by line, shift, or product type
  • Spot outlier runs that skew your averages
  • Built from your existing shift or run-level production data

TV mode for the floor

Put live OEE, line status, and shift targets on screens throughout the facility. No login, no browser issues — just a URL and a TV.

Range bars for cycle time variability

Show min-to-max cycle time spread by machine or line. Instantly see which machines are drifting outside spec — and which are holding tight tolerances.

One dataset, many views

Same shift data feeds the operator TV, the supervisor tablet, and the plant manager's weekly report. Row-level security means each level sees exactly what they need.

Threshold alerts without a data team

Set OEE minimums, defect PPM limits, or downtime thresholds. When a line breaches them, the right people get notified — automatically.

What a manufacturing dashboard looks like

OEE, cycle time variability, speed-quality scatter, and production trends — all from one dataset.

Manufacturing Analytics — Plant Overview ● LIVE Line ▾ Shift ▾ Date ▾ Product ▾ OEE — AVG ALL LINES 82.4% ▲ Target: 80% UNITS TODAY 27,842 of 31,200 target (89.2%) DEFECT PPM 1,820 ▼ Below 2,500 limit DOWNTIME TODAY 68m ▲ +28m vs target Cycle Time Range by Line (seconds/unit) Min · Avg · Max per shift — current week 7s 10s 13s 16s 20s Target Line A 7.6–13.1s Line B 8.7–15.3s Line C 9.7–17.5s Line D 12–20.7s ⚠ Bar = min/max range · Dot = avg · Dashed = target CT Units Produced vs OEE — Daily Bars = units (left axis) · Line = OEE % (right axis) 0 8K 16K 24K 60% 72% 84% 95% OEE Target 80% Mon Tue Wed Thu Fri Sat Sun Units Produced OEE % Below target

Manufacturing plant analytics dashboard

Cycle time range bars expose process variability by line. The combo chart overlays daily production volume against OEE — with one glance you can see which days hit throughput targets and which sacrificed efficiency to get there.

The bottom line

<5m
from OEE threshold breach to supervisor alert — problems caught mid-shift, not after it ends
1
dataset feeds the operator TV, the supervisor view, and the plant manager's weekly report automatically
0
extra BI licenses needed — put dashboards on every screen on the floor without per-seat fees
Early Access — 90 Days Free

Built lean. Priced fairly. Supported by humans.

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25+ years building BI tools Support from the team that builds it Available in US & EU regions
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