SAP Integrated Business Planning

Functionality and Implementation
1. Auflage 2017
ISBN: 978-1-4932-1427-3
Verlag: Rheinwerk Verlag

Buch, Englisch, 449 Seiten, GB, Format (B × H): 175 mm x 229 mm

Reihe: SAP PRESS Englisch

Take your supply chain to the cloud with this guide to SAP IBP planning processes and configuration. Begin with the basics, from loading data into SAP IBP to exploring the planning model. Then dive deep into key functionality and implementation steps for S&OP, demand planning, supply and response planning, inventory management, and supply chain analytics. Using in-depth SAP SCM industry case studies, discover what it takes to ensure a successful adoption of SAP IBP.

Highlights Include:

1) Sales and operations planning (S&OP)
2) Configuration and deployment
3) Planning model
4) Demand planning and forecasting
5) Supply planning
6) Response management
7) Control Tower
8) Inventory management and optimization
9) Supply chain analytics
10) Implementation methodology
11) Use cases

Highlights:

- 1) Sales and operations planning (S&OP)

- 2) Configuration and deployment

- 3) Planning model

- 4) Demand planning and forecasting

- 5) Supply planning

- 6) Response management

- 7) Control Tower

- 8) Inventory management and optimization

- 9) Supply chain analytics

- 10) Implementation methodology

- 11) Use cases

Autoren/Hrsg.

Markin, Sandy

Sinha, Amit

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

. Preface. 17

. Target Audience. 17

. How to Read This Book. 18

. How This Book Is Organized. 18

. Conclusion. 21

. Acknowledgments. 21

1. Introduction. 25

1.1. Supply Chain Complexity in the Digital World. 25

1.2. The Evolution of Supply Chain Planning at SAP. 31

1.3. SAP IBP at a Glance. 34

1.4. SAP IBP Architecture. 44

1.5. SAP HANA and SAP IBP. 45

1.6. Summary. 46

2. Navigation. 47

2.1. SAP Fiori. 47

2.2. SAP IBP Excel Planning View. 59

2.3. Summary. 74

3. Planning Data. 75

3.1. Master Data in a Supply Chain Network. 75

3.2. Transactional Data in a Supply Chain Network. 86

3.3. Standard Data Models in SAP IBP. 87

3.4. Data Integration. 88

3.5. Data Visualization in SAP IBP. 93

3.6. Summary. 98

4. Building Blocks of a Planning Model. 99

4.1. Attribute. 100

4.2. Master Data Type. 101

4.3. Time Profile. 104

4.4. Planning Area. 105

4.5. Planning Level. 106

4.6. Key Figure. 107

4.7. Key Figure Calculation Logic. 110

4.8. Planning Operators. 114

4.9. Version. 118

4.10. Scenario. 118

4.11. Reason Code. 119

4.12. Global Configuration Parameters. 120

4.13. Snapshot Configuration. 121

4.14. Summary. 122

5. Configuring an SAP IBP System. 123

5.1. Managing Planning Attributes. 123

5.2. Assigning the Master Data Type. 124

5.3. Creating Time Profiles. 127

5.4. Defining Planning Areas. 129

5.5. Managing the Planning Level. 132

5.6. Using Key Figures. 133

5.7. Adding Calculation Logic to Key Figures. 135

5.8. Applying Planning Operators. 135

5.9. Creating Reason Codes. 136

5.10. Version Configuration. 137

5.11. Creating Scenarios. 138

5.12. Managing Global Configuration Settings. 139

5.13. Activating the Planning Model. 140

5.14. Deleting Active Objects. 143

5.15. Summary. 143

6. Sales and Operations Planning with SAP IBP. 145

6.1. Objective of Sales and Operations Planning. 145

6.2. Balancing Demand and Supply through Sales and Operations Planning. 148

6.3. Managing Sales and Operations Planning Processes with SAP IBP. 155

6.4. Summary. 163

7. Implementing SAP IBP for Sales and Operations. 165

7.1. Managing Master Data for Sales and Operations Planning. 165

7.2. Building and Activating Sales and Operations Planning Models. 169

7.3. Demand and Supply Planning for Sales and Operations Planning. 177

7.4. Planning Views and Alerts through Sales and Operations Planning. 186

7.5. Collaboration. 192

7.6. Summary. 195

8. Demand Planning and Forecasting with SAP IBP. 197

8.1. Demand Forecasting, Demand Planning, and Demand Sensing. 198

8.2. Performing Demand Forecasting and Demand Sensing. 202

8.3. Preprocessing for Demand Forecasting. 205

8.4. Forecasting. 208

8.5. Postprocessing and Forecast Error. 219

8.6. Promotion Planning and Management with SAP IBP for Demand. 222

8.7. Summary. 224

9. Implementing SAP IBP for Demand. 225

9.1. Planning Model Configuration. 226

9.2. Forecast Model Management. 234

9.3. Promotion Planning. 241

9.4. Demand Planning Run in SAP IBP. 242

9.5. Demand Planning for a New Product. 244

9.6. Planning Results. 246

9.7. Summary. 249

10. Response and Supply Planning with SAP IBP. 251

10.1. Response and Supply Planning Overview. 252

10.2. Supply Planning Methodology. 254

10.3. Forecast Consumption. 258

10.4. Gating Factor Analysis. 258

10.5. Order Review and Analysis. 259

10.6. Order Simulation and Scenario Planning. 264

10.7. Summary. 267

11. Implementing SAP IBP for Response and Supply. 269

11.1. Basic Configuration. 270

11.2. Integration. 272

11.3. Planning Area Overview. 274

11.4. Demand Prioritization Configuration. 275

11.5. Response and Supply Management Planning Run. 281

11.6. Order Simulation and Scenario Planning. 287

11.7. Planning Review for Response and Supply. 288

11.8. Gating Factor Analysis. 289

11.9. Summary. 291

12. Inventory Management with SAP IBP. 293

12.1. Why Hold Inventory?. 294

12.2. Inventory Types and Usage. 296

12.3. Inventory Planning and Related Analytics. 299

12.4. Inventory Optimization Calculations. 306

12.5. SAP IBP for Inventory. 310

12.6. Summary. 315

13. Implementing SAP IBP for Inventory. 317

13.1. Building Network Visualization. 317

13.2. Modeling Inventory Optimization. 321

13.3. Forecast Error Calculation. 325

13.4. Input-Output Data Objects and Key Figures. 327

13.5. Planning Operators for Inventory Calculation. 333

13.6. Performing and Reviewing Inventory Optimization. 334

13.7. Summary. 341

14. SAP Supply Chain Control Tower. 343

14.1. Supply Chain Analytics and Dashboards. 344

14.2. SAP Supply Chain Control Tower Alerts. 346

14.3. Integration with Other Systems. 347

14.4. Root-Cause Analysis and Resolution. 348

14.5. Analytics and Key Performance Indicators. 350

14.6. The Future of SAP Supply Chain Control Tower. 357

14.7. Summary. 359

15. Implementing SAP Supply Chain Control Tower with SAP IBP. 361

15.1. Analytics Application. 362

15.2. Process Modeling. 366

15.3. Dashboard Creation. 367

15.4. Key Performance Indicators. 369

15.5. Case and Task Management. 370

15.6. Collaboration. 374

15.7. Custom Alerts. 376

15.8. Summary. 382

16. Unified Planning and User Roles. 385

16.1. Unified and Integrated Planning Areas. 385

16.2. Application Jobs. 389

16.3. User and Business Roles. 394

16.4. User Group Creation. 398

16.5. Summary. 400

17. Implementation Methodology. 401

17.1. SAP IBP Project Implementation. 402

17.2. Project Implementation Methodologies. 403

17.3. Sprint Delivery and Team Framework. 412

17.4. Implementation Recommendations. 413

17.5. Summary. 416

18. Customer Use Cases. 417

18.1. Sales Planning. 417

18.2. Collaborative Demand Management. 419

18.3. Forecasting and Replenishment Planning. 420

18.4. Multilevel Supply Planning. 422

18.5. Cost-Optimized Supply Planning. 424

18.6. Sales and Operations Planning. 425

18.7. End-to-End Planning and Visibility. 427

18.8. Integrated Business Planning. 429

18.9. Summary. 430

. Appendices. 433

A. Supply Chain Management Acronyms. 433

B. The Authors. 437

. Index. 439

Über Autor(innen)

Sinha, Amit
Amit Sinha is an expert in SAP APO and SAP IBP, with a focus on business process reengineering and supply chain solution modeling in sales and operations planning, demand forecasting, supply planning, detail production scheduling, inventory optimization, and supply chain analytics. He has more than twelve years of supply chain management experience doing solution architecting and project management for planning projects for clients in the pharmaceutical, high-tech, manufacturing, consumer goods, and chemical industries.

Markin, Sandy
Sandy Markin is the senior director of supply chain solutions at SAP and the solution owner of SAP Integrated Business Planning. Before SAP IBP, Sandy worked extensively as part of the design, development, and launch of SAP APO, among other supply chain solutions.