Multi-Metric Manufacturing Dashboard

Dashboard

Core production inputs

Shared model: Demand + time + count + defects + costs -> takt, OEE, sigma, COPQ

Customer demand per shift Planned production time (minutes) Breaks + planned downtime (minutes) Unplanned downtime (minutes) Ideal cycle time (seconds per unit) Total units produced Good units produced Total defects Opportunities per unit Revenue basis Internal failure cost External failure cost Inspection / appraisal cost Lost opportunity cost

Dashboard notes

Takt compares customer demand to available time, while OEE shows how much of that time actually converted into good production.

Sigma and DPMO translate defect performance into a quality capability view. COPQ converts that same quality picture into business impact.

The most useful signal is often the linkage between metrics: poor OEE can drive takt gaps, while poor sigma can drive COPQ even when flow looks acceptable.

Executive View

Integrated insight summary

Takt time: 62.14 s
Actual cycle: 66.08 s
Takt gap: 3.94 s slow
OEE: 78.6%
Sigma level: 4.17
Total COPQ: $8,150
Availability: 91.3%
Performance: 78.7%
Quality: 97.2%

Operational readout: The line is currently missing takt mainly because performance is lagging even though availability remains relatively healthy.

Quality-cost readout: Quality is stable enough to avoid major COPQ spikes, but the current defect pattern still creates meaningful avoidable cost.

Priority action: Focus first on cycle-loss reduction at the constraint process, then attack recurring defect modes driving internal failure cost.

Flow and Utilization

Takt and OEE detail

Net available time: 397 min
Required hourly output: 52.8
Good units per hour: 58.0
Runtime: 397 min
Operating time: 359 min
Constraint signal: Performance loss

Quality and Cost

Sigma and COPQ detail

DPU: 0.035
DPO: 0.0071
DPMO: 7,089
Yield: 96.6%
COPQ % revenue: 4.4%
Largest cost driver: Internal failure

Connected Insights

What the metrics mean together

If actual cycle stays above takt, downstream quality gains alone will not close the customer-demand gap.

If sigma improves without reducing downtime, COPQ may improve faster than OEE.

If performance and quality both improve together, this dashboard will show compounding gains across takt, OEE, and COPQ simultaneously.

Instructions

How to use this app

Enter one shift or one time-bounded production period using the same core operating data your team already tracks. The dashboard calculates takt, actual cycle, OEE, sigma, DPMO, yield, and COPQ together from that single input set.

Use this when you want one fast daily readout rather than opening multiple calculators. It is especially useful for morning reviews, shift handoff, production meetings, or weekly operational summaries.

The most valuable output is the interaction between metrics. If takt is being missed because of performance loss, attack cycle and micro-stoppage issues first. If sigma is weak and COPQ is high, defect reduction will usually return faster business value.