Manufacturing · Power BI template

Manufacturing OEE Power BI template

Power BI manufacturing OEE dashboard template: OEE, availability, performance and quality gauges, downtime Pareto, OEE by shift and scrap matrix.

By · Founder & Reliability Engineer · Updated

Free for commercial use

Light version: same layout, colours re-solved and checked for WCAG AA contrast.

Manufacturing OEE Power BI dashboard template: 4 gauges, a line & column chart, a line chart, a matrix and 2 slicers on a 1280×720 page

BetaOpens in Power BI Desktop with 6 tables of sample data and every visual bound. See what’s inside

Free, no sign-up. The PBIP with sample data includes the background, theme and a README. 1920×1080 fits a new page in a Fluent 2 report; 1280×720 and 2× fit Classic pages. Downloads carry a small “Made with VizForge” mark (sign in to the studio to remove it).

Customise in the design studio →
Layout
Copper band header, 4 gauges, full-height Pareto beside shift trend and scrap matrix
Page size
1280×720 px (16:9, Power BI default)
Theme
Copper Industrial

Open the sample-data PBIP in Power BI Desktop

Checked against Microsoft Learn's Power BI Desktop projects documentation (as of Nov 2026).

  1. 1

    Unzip to a short path and open the .pbip

    Extract the zip to a short local folder such as C:\PBI (Windows limits project paths to 260 characters, and Desktop can't save a project straight to OneDrive or SharePoint), then double-click the .pbip file or use File → Open in Power BI Desktop. Microsoft still lists projects and TMDL as preview features (as of Nov 2026): if Desktop won't open the project, go to File → Options and settings → Options → Preview features, tick “Power BI Project (.pbip) save option” and “Store semantic model using TMDL format”, then restart Desktop.

  2. 2

    Select Refresh once

    The project ships without the local data cache (.pbi/cache.abf), so Desktop opens the full model definition without data. Select Home → Refresh: every table is built from values written into its Power Query step, so there is no data source to sign in to.

  3. 3

    Save as .pbix or connect your data

    Use File → Save as to keep a single .pbix file, or open Transform data and replace each table's Source step with your own query, keeping the column names so the measures and visuals keep working.

What’s inside the OEE sample model

Rendered from the same definition the download writes as TMDL, so this list always matches the file.

Tables
6
Fact rows
672
DAX measures
9

A three-line beverage plant over the four weeks from 5 Oct to 1 Nov 2026: planned and run minutes, counts and good units per line and shift, and the downtime events that explain the lost minutes. Units: Minutes; units; ideal cycle time in seconds per unit.

Tables and columns

Calendar

Date table · 2026, one row per day

Date table generated in Power Query (List.Dates), marked as the model's date table.

  • Date (date)
  • Year (whole number)
  • Quarter (text)
  • Month (text)
  • Month Name (text)
  • Week Start (date)
  • Weekday (text)
  • Fiscal Year (text)

Line

Dimension · 3 rows

Production lines and what they fill.

  • Line (text)
  • Product (text)

Shift

Dimension · 3 rows

Eight-hour shifts.

  • Shift (text)
  • Hours (text)

Downtime Reason

Dimension · 8 rows

Downtime reason codes.

  • Reason (text)
  • Type (text)

Production

Fact · 252 rows

One row per line, shift and day.

  • Date (date)
  • Line (text)
  • Shift (text)
  • Planned Minutes (whole number)
  • Run Minutes (whole number)
  • Ideal Cycle Secs (decimal)
  • Total Count (whole number)
  • Good Count (whole number)

Downtime

Fact · 420 rows

Downtime events (minutes lost) by line, shift, day and reason.

  • Date (date)
  • Line (text)
  • Shift (text)
  • Reason (text)
  • Minutes (whole number)

Relationships

Many-to-one, single direction. Inactive relationships are switched on inside a measure with USERELATIONSHIP.

  • Production[Date] → 'Calendar'[Date]
  • Production[Line] → Line[Line]
  • Production[Shift] → Shift[Shift]
  • Downtime[Date] → 'Calendar'[Date]
  • Downtime[Line] → Line[Line]
  • Downtime[Shift] → Shift[Shift]
  • Downtime[Reason] → 'Downtime Reason'[Reason]

DAX measures

All measures live in a dedicated Key Measures table. Copy any of them into your own model; rename the table and column references to match.

AvailabilityRun time over planned production time.
Availability =
DIVIDE ( SUM ( Production[Run Minutes] ), SUM ( Production[Planned Minutes] ) )

Format string: 0.0%

PerformanceIdeal time for the units made over run time.
Performance =
DIVIDE (
    SUMX ( Production, Production[Total Count] * Production[Ideal Cycle Secs] ) / 60,
    SUM ( Production[Run Minutes] )
)

Format string: 0.0%

QualityGood units over all units.
Quality =
DIVIDE ( SUM ( Production[Good Count] ), SUM ( Production[Total Count] ) )

Format string: 0.0%

OEEOverall equipment effectiveness.
OEE =
[Availability] * [Performance] * [Quality]

Format string: 0.0%

Scrap RateRejected units over all units.
Scrap Rate =
1 - [Quality]

Format string: 0.00%

OEE TargetWorld-class OEE benchmark used as the gauge target.
OEE Target =
0.85

Format string: 0%

Gauge MaxGauge maximum (100%).
Gauge Max =
1

Format string: 0%

Downtime MinutesMinutes lost to stoppages.
Downtime Minutes =
SUM ( Downtime[Minutes] )

Format string: #,0

Cumulative Downtime %Pareto line: share of downtime from this reason and every larger one.
Cumulative Downtime % =
VAR Current = [Downtime Minutes]
VAR Total = CALCULATE ( [Downtime Minutes], ALLSELECTED ( 'Downtime Reason' ) )
VAR Cumulative =
    SUMX (
        FILTER (
            ALLSELECTED ( 'Downtime Reason'[Reason] ),
            CALCULATE ( [Downtime Minutes] ) >= Current
        ),
        CALCULATE ( [Downtime Minutes] )
    )
RETURN
    DIVIDE ( Cumulative, Total )

Format string: 0%

What each visual is bound to

The PBIP opens with these fields already on each visual.

Field bindings per visual
VisualFields
LineSlicerLine[Line]
WeekSlicerCalendar[Week Start]
OEEGauge[OEE], [OEE Target], [Gauge Max]
AvailabilityGauge[Availability], [Gauge Max]
PerformanceGauge[Performance], [Gauge Max]
QualityGauge[Quality], [Gauge Max]
Downtime Pareto by reasonLine & column chart'Downtime Reason'[Reason], [Downtime Minutes], [Cumulative Downtime %]
OEE by shiftLine chartCalendar[Date], [OEE], Shift[Shift]
Scrap rate: line × shiftMatrixLine[Line], [Scrap Rate], Shift[Shift]

Questions this dashboard answers

Each one is answered by a visual on the page, from the sample model's own tables and measures.

About this dashboard layout

OEE is the product of three ratios, so the page leads with four gauges: OEE itself, then availability, performance and quality. Seeing the three components next to the total shows immediately which one is dragging the number down. Set each gauge's target to your plant standard (85% OEE is the usual world-class reference; most plants run well below it).

The downtime Pareto takes the left half of the page at full height. Use a combo chart with downtime minutes by reason as columns, sorted descending, and the cumulative percentage as a line on the secondary axis. The first three or four reasons usually account for most of the lost time, and that is where the improvement team should go.

On the right, OEE by shift over the last few weeks (line chart, one line per shift) and a matrix of scrap rate by line and shift with a colour scale. Shift-to-shift differences on the same line are the cheapest improvements to find.

Calculate OEE from summed good count, total count, run time and planned time, not as an average of row-level OEE values. Averaging ratios overweights short runs and is the most common OEE reporting error.

Visuals on the page

Positions are Power BI page pixels. Enter them in Format → General → Properties → Size and position, or use the PBIP download where they are already set.

Visual positions in the Manufacturing OEE template
VisualTypeXYWidthHeight
LineSlicer9201616040
WeekSlicer10961616040
OEEGauge40104264136
AvailabilityGauge352104264136
PerformanceGauge664104264136
QualityGauge976104264136
Downtime Pareto by reasonLine & column chart40288576392
OEE by shiftLine chart664288576184
Scrap rate: line × shiftMatrix664520576160

Custom visuals for this layout

Built-in Power BI visuals cover most slots above. These slots also suit a custom visual; each page covers the data shape, DAX and a prompt to generate it as a .pbiviz.

Already have a report?

Brand Makeover tries Manufacturing OEE first on every page of your Power BI project (.pbip zip) where it fits: the page's visuals have to go into its 7 data slots without overlaps. Pages it can't seat get another catalog layout or a brand grid. Queries, filters and bookmarks are left as they are. Free, in your browser.

Restyle my report into this

Swap a slot for a custom visual

Pick any slot and VizForge AI writes a custom visual (.pbiviz, with TypeScript source) sized to it, in this template's colours and shaped for the fields it is bound to.

Generate one that fits this layout.

Gauge · 264×136 px · bound to [OEE], [OEE Target], [Gauge Max]

1, 2 or 5 credits depending on the brief · 5 free on signup. Sign in or create a free account on the next screen; the brief is saved for 30 minutes.

Brief sent to the generator (you can edit it there)

A Power BI gauge visual titled "OEE". It sits in a 264×136 px slot on a designed report page. Match the report's brand: data colours #E08A4F, #7DA7D9, #4ADE80, #FACC15, #C4B5FD, #5EEAD4; background #1C1F24; text #F1F2F4; font Segoe UI. Transparent visual background so the page design shows through; no visual border. In the sample model it is bound to [OEE], [OEE Target], [Gauge Max]; keep the same data roles so the fields drop straight in.

Not sure what to build? Browse the visual catalog or open the template in the design studio and hand off any slot from there. Or start in the AI generator with a blank brief.

Colours and theme

Copper Industrial

Dark steel Power BI theme with a copper accent and high-visibility data colours for manufacturing, energy and plant-floor dashboards.

See the Copper Industrial palette and contrast checks →

Use the background in an existing report

Prefer to keep your own report? Apply the design to it instead of opening the PBIP.

  1. 1

    Download the background

    Take the 1920×1080 PNG for a new page in a Fluent 2 report (the default size for new pages), or the 2× PNG (2560×1440) for sharp text on a 1280×720 Classic page. Power BI scales the image to the canvas.

  2. 2

    Set the canvas background

    Format page → Canvas background → Browse. Set Image fit to Fill and transparency to 0%.

  3. 3

    Import the theme

    Design ribbon → Import theme (in the Power BI service: View → Theme pane), then pick the downloaded JSON. Data colours and fonts now match the design. Older Desktop builds: View → Themes → Browse for themes.

  4. 4

    Place your visuals

    Size each visual to the positions above with background and border off, or open the PBIP project where they are already placed.

Questions about this template

Does the Manufacturing OEE template come with sample data?

Yes. The “PBIP with sample data” download contains a semantic model with 6 tables and 9 DAX measures, and every visual on the page is already bound to it. The sample: A three-line beverage plant over the four weeks from 5 Oct to 1 Nov 2026: planned and run minutes, counts and good units per line and shift, and the downtime events that explain the lost minutes. The data is written into each table's Power Query step, so there is no data source or sign-in.

Is it a .pbix file?

It is a Power BI project (PBIP): a folder of text files that Power BI Desktop opens like a .pbix. Open the .pbip file, select Refresh once to load the sample rows, then use File → Save as if you want a single .pbix.

What visuals are in the Manufacturing OEE template?

The page has 9 visual areas: 2 slicers, 4 gauges, 1 line & column chart, 1 line chart, 1 matrix. Their exact positions are listed on this page so you can match them in Power BI's Format → General → Properties panel, or skip that step by downloading the PBIP project.

Which theme does the Manufacturing OEE template use?

It ships with the Copper Industrial theme (dark tone). Download the theme JSON here, or open the template in the design studio and switch to any other theme or your own brand colours.

Is there a light version of the Manufacturing OEE template?

Yes. Switch the preview to Light and every download (background, theme JSON and PBIP) comes in that version. The layout is identical; the page, card and text colours are re-solved for a light page, and the accent, status and data colours keep their hues but are adjusted until text meets WCAG AA (4.5:1) and chart colours reach 3:1 against the cards.

How do I use the background image in Power BI Desktop?

Select the page, open Format page → Canvas background, choose Browse and pick the PNG, then set Image fit to Fill and transparency to 0%. Give your visuals a transparent background and no border so the designed panels show through.

Can I open the PBIP project in Power BI Desktop?

Yes. PBIR is the default report format in Power BI Desktop since September 2026, and the download is a PBIP project: unzip it and open the .pbip file, select Refresh once and the sample data loads into visuals that are already bound (the empty PBIP leaves the containers unbound for your own data). Microsoft still lists projects and TMDL as preview features (as of Nov 2026), so if Desktop won't open it, enable them under File → Options and settings → Options → Preview features.

Build guides for this dashboard

Guides to the same dashboard job: which custom visuals it needs, the DAX behind them and prompts to generate them.

KPI cards for this layout

Headline numbers drawn by one DAX SVG measure each, for the Card visual or a table row.

Designs made for this template’s KPI slots: OEE progress bar, Line health ring. Browse all styles in the KPI card gallery or build your own in the SVG measure builder.

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Make the Manufacturing OEE template yours

Swap in your brand colours and logo, move panels, add icons and generate missing visuals with AI, then export the background, theme JSON and PBIP project.

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