Manufacturing · Analytics ·

Production & OEE

Manage your production: overall equipment effectiveness (OEE), volumes, throughput and scrap rate by line.

Illustrative preview of the SAP Analytics Cloud dashboard Production & OEE for the Manufacturing industry: metrics OEE, Volume produced, Throughput, Scrap rate, analyzed by Line, Workshop, Product.
Illustrative preview of a possible rendering in SAC. Brand colors and structure; synthetic figures.

KPIs included

  • OEE
  • Volume produced
  • Throughput
  • Scrap rate

Analysis dimensions

  • Line
  • Workshop
  • Product

About this template

Manage your production: overall equipment effectiveness (OEE), volumes, throughput and scrap rate by line. Designed for teams in the Manufacturing industry, the model pre-wires 4 key metrics — including OEE and Volume produced — analyzable across 3 analysis axes (Line, Workshop, Product). You start from an already-bounded base (units, aggregations and business labels defined) rather than a blank sheet.

After downloading, import Production & OEE into SAC Modeler (Files → New Model → Import data from a file), map the 3 dimensions and 4 measures, then build your Story. The provided dataset contains 720 to 960 rows with realistic values for the Manufacturing industry, available as .xlsx (multi-sheet workbook), .csv (flat table) and .package (ZIP bundle with model.json, data.csv and README).

FAQ

What is the "Production & OEE" template for?

It provides a ready-to-use SAC structure to drive analytics in the Manufacturing industry. The standard business KPIs and dimensions are already defined, saving you the modeling phase.

Which KPIs are included?

The template includes 4 metrics: OEE, Volume produced, Throughput, Scrap rate. Each is computed across the dimensions Line, Workshop, Product.

How do I import it into SAP Analytics Cloud?

Download the .csv or .xlsx format, then in SAC: Files → New Model → Import data from a file. Map the columns (Dimensions then Measures), validate the types and build your Story. Allow 5 to 10 minutes for an operational model.