For manufacturing & plant ops
Your MES knows every cell's OEE — your dashboard shows it as a table nobody reads on the floor.
A factory floor is a physical place, but the reports that run it are flat: a bar chart of OEE by line, a table of downtime reasons, a KPI tile for scrap rate. None of them let a plant manager glance at the actual layout and see where output is leaking. A synoptic panel closes that gap — it binds each cell of your factory floor plan (raw-material intake, the production lines, assembly, QA, finished-goods dispatch) to a measure and colors it, so "Line 3 is starved" or "QA is the bottleneck this shift" is obvious at a glance instead of buried in rows.
Native Power BI has no floor-plan visual. The usual workarounds are a static image with manually-placed cards on top (breaks the moment you re-lay-out a cell), Shape Map (built for choropleth geography, not a plant layout), or an AppSource synoptic visual you rent per user. VizForge generates a synoptic .pbiviz from your own floor plan: upload the layout, the AI names each area, you bind your MES or historian measures, and you own the resulting file — no per-seat fee, no waiting on a vendor's release schedule.
The demo below is the real idea in miniature: a factory plan whose cells light up by a sample OEE measure. In production you'd bind the same regions to live data from your MES, historian, or downtime-tracking system.
The availability × performance × quality rollup per line, so the worst-performing cell stands out on the layout.
Minutes lost to changeovers, breakdowns, and micro-stops per cell — see which line is starving the flow.
Actual run rate against demand, shading cells that are drifting behind the required pace.
Defect and rework rate per cell, so a quality problem shows up where it's made, not in a monthly summary.
Generate the synoptic .pbiviz from your factory floor plan and import it into Power BI Desktop.
Drop the area/region field (one row per cell, matching the named areas) into the Category well.
Add your measure — e.g. OEE % from your MES model — into the Values well.
Set a conditional-format color rule (red below target → green healthy) and the plan colors itself.
Try this prompt
A factory floor plan with raw-material intake and component staging on the left, four production cells in the middle, and assembly, QA, and finished-goods dispatch down the right — each cell bindable to an OEE measure.
Not with a native visual — Power BI has no floor-plan chart. You use a synoptic panel: a custom visual that maps regions of your layout image to data. VizForge generates one from your own floor plan so each cell binds to an OEE measure and colors by it, and you own the .pbiviz outright.
A background image with cards is static and fragile — move a cell and every card is wrong, and nothing is data-bound, it's just placed. A synoptic panel binds each named region to a field, so the coloring updates with your data and filters like any other Power BI visual.
No. You upload the floor plan and the AI segments and names the areas; you refine the names and bind your measures. That is the whole point versus the older draw-every-polygon workflow.
Whatever your plant model exposes per cell: OEE, availability, cycle time vs takt, scrap and first-pass yield, downtime minutes by reason. One row per area with a matching key, plus the measure, and the plan colors itself.
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Upload your real layout, let the AI name the cells, bind your measures, and download a .pbiviz you own forever.