Fr. 128.00

Production Variance Analysis in SAP S/4HANA

Inglese · Copertina rigida

Spedizione di solito entro 4 a 7 giorni lavorativi

Descrizione

Ulteriori informazioni

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

Sommario

... Preface ... 13

... How This Book Is Organized ... 13

... Acknowledgments ... 15

1 ... Initial Planning ... 17

1.1 ... Sales and Operations Planning ... 18

1.2 ... Long-Term Planning ... 20

1.3 ... Cost Center Planning ... 29

1.4 ... Summary ... 35

2 ... Cost Estimates ... 37

2.1 ... Master Data ... 38

2.2 ... Overhead Costs ... 55

2.3 ... Cost Components ... 61

2.4 ... Costing Variant ... 64

2.5 ... Standard Cost Estimate ... 70

2.6 ... Costing Run ... 76

2.7 ... Preliminary Cost Estimate ... 87

2.8 ... Mixed Cost Estimate ... 93

2.9 ... Summary ... 98

3 ... Actual Costs ... 99

3.1 ... Primary Costs ... 99

3.2 ... Secondary Costs ... 103

3.3 ... Credits ... 105

3.4 ... Post Actual Costs ... 107

3.5 ... Report Actual Costs ... 112

3.6 ... Summary ... 118

4 ... Period-End Processing ... 119

4.1 ... Types of Variance Calculation ... 119

4.2 ... Variance Configuration ... 121

4.3 ... Variance Categories ... 130

4.4 ... Period End ... 135

4.5 ... Cost Center Variances ... 154

4.6 ... Purchase Price Variance ... 169

4.7 ... Actual Costing ... 175

4.8 ... Summary ... 178

5 ... Scrap Variance ... 179

5.1 ... Scrap Basics ... 179

5.2 ... Assembly Scrap ... 180

5.3 ... Component Scrap ... 189

5.4 ... Operation Scrap ... 196

5.5 ... Combined Scrap ... 205

5.6 ... Summary ... 211

6 ... Reporting ... 213

6.1 ... Margin Analysis ... 215

6.2 ... Summarized Analysis Reports ... 217

6.3 ... Detailed Reports ... 229

6.4 ... Line-Item Reports ... 231

6.5 ... Production Order Reports ... 234

6.6 ... Cost Center Reports ... 238

6.7 ... Summary ... 242

7 ... Future Direction of Variance Analysis ... 245

7.1 ... Event-Based Production Orders ... 246

7.2 ... Variance Categories ... 252

7.3 ... Production Variance in Margin Analysis ... 254

7.4 ... Summary ... 256

... Appendices ... 257

A ... Glossary ... 259

B ... Additional Resources ... 285

C ... The Authors ... 287

... Index ... 289

Info autore










John Jordan is the founder and principal consultant at ERP Corp, which provides SAP consulting and training services, particularly in the area of financials and controlling. He has written articles for the SCM Expert and Financials Expert newsletters, and is the author of SAP PRESS books Product Cost Controlling with SAP and Controlling with SAP: 100 Things You Should Know About....


Riassunto

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

Dettagli sul prodotto

Autori John Jordan, Janet Salmon
Editore Rheinwerk Verlag
 
Lingue Inglese
Formato Copertina rigida
Pubblicazione 01.02.2023
 
EAN 9781493223619
ISBN 978-1-4932-2361-9
Pagine 301
Dimensioni 183 mm x 23 mm x 260 mm
Peso 804 g
Serie SAP PRESS Englisch
Categorie Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Comunicazione dati, reti

SAP S/4HANA Finance, Product costing, Production variance analysis (PVA), Variant calculation

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