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Production Variance Analysis in SAP S/4HANA

164,41 
164,41 
2025-07-31 164.4100 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 19,00 

Knygos aprašymas

To effectively plan production costs, you know that guesswork and projections aren't enough. Optimize your production processes-and increase profitability-with this guide to production variance analysis in SAP S/4HANA. Start with the planning basics, and then perform costing runs and create cost estimates. See how to post actual costs with the Universal Journal, analyze variance during period-end processing, and assess scrap. Get details on SAP Fiori apps for reporting and the road ahead for variance analysis in this comprehensive resource!

In this book, you'll learn about:

a. Product Costing
Compare planned versus actual costs in SAP S/4HANA. Walk through key product master data, and then create standard, preliminary, and mixed cost estimates. Post actual costs and analyze them using the Universal Journal and SAP Fiori apps.

b. Variance Calculation
Analyze variance at period-end close. Follow step-by-step instructions to configure and perform production variance analysis for the cost center, purchase price, and scrap. See how the Material Ledger and actual costing impact variance analysis.

c. Reporting
Explore your reporting options for production variance analysis in SAP S/4HANA: analysis reports, detailed reports, line item reports, production order reports, and cost center reports.

Highlights include:

1) Cost estimation
2) Actual postings
3) Product cost analysis
4) Period-end close
5) Variance configuration
6) Cost center variance
7) Purchase price variance
8) Scrap variance
9) Universal Journal
10) Material Ledger
11) Reporting

Informacija

Autorius: John Jordan, Janet Salmon,
Serija: SAP Press Englisch
Leidėjas: Rheinwerk Verlag GmbH
Išleidimo metai: 2023
Knygos puslapių skaičius: 301
ISBN-10: 1493223615
ISBN-13: 9781493223619
Formatas: Knyga kietu viršeliu
Kalba: Anglų
Žanras: SAP (Systems, applications and products in databases)

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