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Manufacturing · SAP Analytics Cloud

SAP Analytics Cloud templates for Manufacturing

4 ready-to-use SAC and SAC Planning templates for Manufacturing — each with the KPIs, dimensions and realistic data your function actually tracks. Import in minutes, or generate a tailored one. No sign-up.

KPIs we cover for Manufacturing

OEEScrap rateThroughputVolume producedUnit costCycle timeWIP inventoryMTBFCost of quality

Analysis dimensions

PlantProduction lineProduct SKUTeamWorkstationShift

4 Manufacturing templates

Each opens with a live preview and a one-click download (.xlsx, .csv, .package).

SAC Analytics

Production & OEE

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

OEEVolume producedThroughput
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SAC Analytics

Product quality

Track product quality: conformity, defects per million (PPM) and total cost of poor quality.

Scrap rateConformity rateDefect PPM
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SAC Analytics

Supply chain & S&OP

Balance supply and demand: service level, work-in-progress, lead times and inventory turnover.

Service levelWIP inventoryLead time
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How to model Manufacturing in SAP Analytics Cloud

A solid Manufacturing model starts with the right grain. Build your dimensions first (Plant, Production line, Product SKU), then add the measures that matter (OEE, Scrap rate, Throughput). The trap is aggregation: amounts and volumes sum, but rates and percentages must use AVERAGE, and stocks or balances must use a LAST exception on the time dimension — otherwise your yearly totals come out wrong.

Set those aggregations once in the Modeler, import your data, and build a Story from the KPIs above. For the full method, see our guides on importing a CSV into SAC and choosing the right aggregation.