Build a Custom OEE Dashboard Using AI in Minutes
Turn a plain-English description of your OEE Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building an OEE Dashboard
The calculation built to your own standards with every lost minute attributed to a named cause.
Three Factors Reported Separately
Availability, performance and quality are shown individually as well as combined, so you know which one is actually constraining output.
Loss Minutes Fully Attributed
Every lost minute is assigned to a category, which is what makes the number actionable rather than merely diagnostic.
Your Standards, Not Defaults
Ideal cycle rates and planned time follow your definitions, so figures are comparable across shifts and defensible in a review.
Shift and Crew Comparison
Results are split by shift pattern, exposing differences in operation that an asset level average conceals entirely.
Changeover Analysis
Setup durations are compared against standard by product combination, targeting the loss category most plants underestimate.
Line Side and Analysis Views
Operators see current effectiveness and the active loss while engineering gets the historical detail, both from one build.
OEE Dashboard Use Cases You Can Build in Minutes
Know Which Factor Is Limiting Output
Availability, performance and quality rates with the resulting overall figure per machine and shift, current shift against target, thirty day trend, which of the three is constraining the result and comparison between identical machines.
window.awbMockup = { oeeCalculation: "Build an OEE dashboard showing availability, performance and quality rates with the resulting overall figure per machine and shift, current shift performance against target, the trend over 30 days, which of the three factors is limiting the result, and comparison between identical machines.", sixBigLosses: "Build an equipment loss dashboard breaking lost production time into breakdowns, setup and changeover, small stops, reduced speed, startup rejects and production defects, showing minutes and cost lost per category, a pareto ranking, and the loss category growing fastest this month.", changeoverPerformance: "Build a changeover dashboard showing each changeover with duration against standard, product combination changed between, operator and shift, average and best achieved time per combination, total changeover time as a share of planned production, and the changeovers with widest variation.", assetComparison: "Build an equipment effectiveness comparison dashboard ranking machines on overall figure with each factor shown separately, effectiveness by shift pattern to reveal crew differences, downtime causes concentrated on specific assets, output per available hour, and the machines whose effectiveness declined over the quarter."};
Attribute Every Lost Minute to a Cause
Lost production time broken into breakdowns, setup and changeover, small stops, reduced speed, startup rejects and production defects, with minutes and cost per category, a ranked pareto and the category growing fastest.
window.awbMockup = { oeeCalculation: "Build an OEE dashboard showing availability, performance and quality rates with the resulting overall figure per machine and shift, current shift performance against target, the trend over 30 days, which of the three factors is limiting the result, and comparison between identical machines.", sixBigLosses: "Build an equipment loss dashboard breaking lost production time into breakdowns, setup and changeover, small stops, reduced speed, startup rejects and production defects, showing minutes and cost lost per category, a pareto ranking, and the loss category growing fastest this month.", changeoverPerformance: "Build a changeover dashboard showing each changeover with duration against standard, product combination changed between, operator and shift, average and best achieved time per combination, total changeover time as a share of planned production, and the changeovers with widest variation.", assetComparison: "Build an equipment effectiveness comparison dashboard ranking machines on overall figure with each factor shown separately, effectiveness by shift pattern to reveal crew differences, downtime causes concentrated on specific assets, output per available hour, and the machines whose effectiveness declined over the quarter."};
Target the Loss Most Plants Underestimate
Each changeover with duration against standard, the product combination changed between, operator and shift, average and best achieved time per combination, total changeover as a share of planned production and the widest variations.
window.awbMockup = { oeeCalculation: "Build an OEE dashboard showing availability, performance and quality rates with the resulting overall figure per machine and shift, current shift performance against target, the trend over 30 days, which of the three factors is limiting the result, and comparison between identical machines.", sixBigLosses: "Build an equipment loss dashboard breaking lost production time into breakdowns, setup and changeover, small stops, reduced speed, startup rejects and production defects, showing minutes and cost lost per category, a pareto ranking, and the loss category growing fastest this month.", changeoverPerformance: "Build a changeover dashboard showing each changeover with duration against standard, product combination changed between, operator and shift, average and best achieved time per combination, total changeover time as a share of planned production, and the changeovers with widest variation.", assetComparison: "Build an equipment effectiveness comparison dashboard ranking machines on overall figure with each factor shown separately, effectiveness by shift pattern to reveal crew differences, downtime causes concentrated on specific assets, output per available hour, and the machines whose effectiveness declined over the quarter."};
Compare Machines and Crews Fairly
Machines ranked on overall figure with each factor shown separately, effectiveness by shift pattern to reveal crew differences, downtime causes concentrated on specific assets and machines whose effectiveness declined this quarter.
Compare Machines and Crews Fairly
Machines ranked on overall figure with each factor shown separately, effectiveness by shift pattern to reveal crew differences, downtime causes concentrated on specific assets and machines whose effectiveness declined this quarter.
Build a custom OEE dashboard in 4 simple steps
Calculate availability, performance and quality per machine with the losses behind each, so overall equipment effectiveness points at a specific fix.
Start with planned production time, ideal cycle rate per product and your loss categories across breakdowns, changeovers, minor stops, speed loss, scrap and rework. Emergent builds the calculation to your definitions, since OEE is only comparable when the standards are explicit.
Link machine signals, a historian, or the shift logs your operators complete. Emergent computes availability, performance and quality per asset and shift, and attributes every lost minute to a category rather than leaving it in a total.
Ask to alter an ideal cycle rate, add a loss category, change planned production time or add a machine, and every calculation rebuilds consistently across shifts and assets.
Publish a line side layout showing current effectiveness and the largest active loss, plus an engineering view for analysis. Operators see the effect of a stoppage while it is happening.
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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
| Comparison | Other Tools |  |
|---|---|---|
| Built for | Demos and MVPs | Products you keep growing |
| What you get | Front end shell only | Full stack, wired end to end |
| Backend and database | Set it up yourself | Built and connected for you |
| Customization | Surface level styling | Deep workflow control |
| Integrations and APIs | Manual glue work | Connected from a prompt |
| Code ownership | Locked to the platform | Clean code you can export |
| Time to launch | Weeks of patching and setup | Live the same day |
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