SAP Integrated Business Planning

Functionality and Implementation
3. Auflage 2021
ISBN: 978-1-4932-2142-4
Verlag: Rheinwerk Verlag GmbH

Buch, Englisch, 526 Seiten, Format (B × H): 182 mm x 261 mm, Gewicht: 1280 g

Reihe: SAP Press Englisch

Take your supply chain to the cloud! Walk through the SAP Integrated Business Planning applications—S&OP, demand, response and supply, demand-driven MRP, and inventory. Then learn to monitor and control these processes. See how to set up and use your SAP IBP system, from planning areas to key figures. With coverage of intelligent visibility, SAP IBP for demand-driven replenishment, and more, you can be sure you’re getting the latest information on supply chain planning with SAP!

Highlights include:

1) Planning model
2) Planning areas
3) Sales and operations planning (S&OP)
4) Demand planning and forecasting
5) Supply planning
6) Response planning
7) Inventory planning
8) Demand-driven replenishment
9) SAP Supply Chain Control Tower
10) Implementation methodology
11) Case studies

Autoren/Hrsg.

Markin, Sandy

Sinha, Amit

Chandna, Sanchit

Foster, Jay

Fachgebiete

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

Inhaltsverzeichnis

. Foreword from Martin Barkman. 19

. Foreword from Tim Gaus. 21

. Preface. 23

. Target Audience. 23

. How to Read This Book. 24

. How This Book Is Organized. 24

. Conclusion. 27

. Acknowledgments. 27

1. Introduction. 29

1.1. Supply Chain Complexity in the Digital World. 29

1.2. The Evolution of Supply Chain Planning at SAP. 35

1.3. SAP Integrated Business Planning at a Glance. 37

1.4. SAP Integrated Business Planning and the Intelligent Digital Supply Chain. 47

1.5. SAP Integrated Business Planning Architecture. 49

1.6. Summary. 51

2. Navigation. 53

2.1. SAP Fiori. 53

2.2. SAP Integrated Business Planning Excel Planning View. 65

2.3. Summary. 76

3. Planning Data. 77

3.1. Master Data in a Supply Chain Network. 77

3.2. Transactional Data in a Supply Chain Network. 87

3.3. Standard Data Models in SAP Integrated Business Planning. 88

3.4. Data Integration. 89

3.5. Data Visualization in SAP Integrated Business Planning. 95

3.6. Summary. 106

4. Building Blocks of a Planning Model. 107

4.1. Attributes. 108

4.2. Master Data Types. 109

4.3. Time Profiles. 113

4.4. Planning Areas. 114

4.5. Planning Levels. 115

4.6. Key Figures. 116

4.7. Key Figure Calculation Logic. 119

4.8. Planning Operator Profiles. 123

4.9. Versions. 125

4.10. Scenarios. 126

4.11. Reason Codes. 127

4.12. Global Configuration Parameters. 128

4.13. Snapshot Configuration Parameters. 129

4.14. Summary. 130

5. Configuring an SAP IBP System. 131

5.1. Managing Planning Attributes. 131

5.2. Assigning Attributes to a Master Data Type. 133

5.3. Creating Time Profiles. 136

5.4. Defining Planning Areas. 139

5.5. Managing the Planning Level. 142

5.6. Using Key Figures. 145

5.7. Adding Calculation Logic to Key Figures. 146

5.8. Attributes as Key Figures. 148

5.9. Creating Reason Codes. 148

5.10. Version Configuration. 149

5.11. Creating Scenarios. 150

5.12. Managing Global Configuration Settings. 151

5.13. Copying a Standard SAP-Delivered Planning Area. 153

5.14. Activating the Planning Model. 155

5.15. Deleting Active Objects. 157

5.16. Summary. 158

6. Sales and Operations Planning with SAP IBP. 159

6.1. Objective of Sales and Operations Planning. 160

6.2. Technical, Design, and Philosophical Requirements Supporting Sales and Operations Planning. 163

6.3. Managing Sales and Operations Planning Processes with SAP Integrated Business Planning. 169

6.4. Planning and External Procurement Collaboration. 179

6.5. What’s Ahead for Sales and Operations Planning?. 180

6.6. Summary. 182

7. Implementing SAP IBP for Sales and Operations. 183

7.1. Managing Master Data for Sales and Operations Planning. 183

7.2. Building and Activating Sales and Operations Planning Models. 186

7.3. Demand and Supply Planning for Sales and Operations Planning. 194

7.4. Planning Views and Alerts through Sales and Operations Planning. 202

7.5. Collaboration. 208

7.6. Obstacles to Sales and Operations Planning Success and Achievement. 210

7.7. Summary. 213

8. Demand Planning and Forecasting with SAP IBP. 215

8.1. Demand Planning. 216

8.2. Product Lifecycle Forecasting. 233

8.3. Integrating Promotion Data in Forecasting. 234

8.4. Realignment. 235

8.5. Forecast Error Calculations in Demand Planning. 236

8.6. Forecast Automation. 238

8.7. Demand Sensing. 239

8.8. What’s Ahead for Demand Planning?. 241

8.9. Summary. 241

9. Implementing SAP IBP for Demand. 243

9.1. Planning Model Configuration. 244

9.2. Forecast Model Management. 252

9.3. Promotion Planning. 258

9.4. Demand Planning Run in SAP Integrated Business Planning. 260

9.5. Demand Planning for a New Product. 260

9.6. Summary. 262

10. Response and Supply Planning with SAP IBP. 263

10.1. Response and Supply Planning Overview. 264

10.2. Supply Planning Methodology. 265

10.3. Forecast Consumption. 270

10.4. Gating Factor Analysis. 271

10.5. Order Review and Analysis. 272

10.6. Order Simulation and Scenario Planning. 277

10.7. What’s Ahead for Response and Supply Planning?. 280

10.8. Summary. 281

11. Implementing SAP IBP for Response and Supply. 283

11.1. Data Integration. 284

11.2. Planning Area Overview. 285

11.3. Basic Configuration. 290

11.4. Demand Prioritization Rule. 298

11.5. Response and Supply Management Planning Run. 303

11.6. Order Simulation and Scenario Planning. 309

11.7. Planning Review for Response and Supply. 310

11.8. Gating Factor Analysis. 311

11.9. Deployment Planning. 312

11.10. Synchronized Planning. 315

11.11. Summary. 318

12. Inventory Management with SAP IBP. 319

12.1. Why Hold Inventory?. 319

12.2. Inventory Types and Usage. 321

12.3. Inventory Planning and Related Analytics. 324

12.4. Inventory Optimization Calculations. 329

12.5. SAP IBP for Inventory. 333

12.6. What’s Ahead for Inventory?. 337

12.7. Summary. 337

13. Implementing SAP IBP for Inventory. 339

13.1. Building Network Visualizations. 339

13.2. Modeling Inventory Optimization. 343

13.3. Manage Forecast Error Calculations App. 347

13.4. Inventory Profiles App. 349

13.5. Inventory Analysis App. 349

13.6. Input/Output Data Objects and Key Figures. 353

13.7. Planning Operators for Inventory Calculation. 358

13.8. Performing and Reviewing Inventory Optimization. 359

13.9. Summary. 364

14. SAP Supply Chain Control Tower. 365

14.1. Supply Chain Analytics and Dashboards. 366

14.2. SAP Supply Chain Control Tower Alerts. 368

14.3. The Networked Supply Chain. 369

14.4. Root-Cause Analysis and Resolution. 370

14.5. Analytics and Key Performance Indicators. 372

14.6. Business Network Collaboration. 378

14.7. Intelligent Visibility. 381

14.8. What’s Ahead for Analytics?. 383

14.9. Summary. 384

15. Implementing SAP Supply Chain Control Tower with SAP IBP. 385

15.1. Analytics Application. 386

15.2. Process Modeling. 389

15.3. Dashboard Creation. 391

15.4. Key Performance Indicators. 392

15.5. Case and Task Management. 393

15.6. Collaboration. 396

15.7. Custom Alerts. 398

15.8. Business Network Collaboration. 404

15.9. Intelligent Visibility. 409

15.10. Summary. 412

16. Demand-Driven MRP with SAP IBP. 413

16.1. What Is Demand-Driven Material Requirements Planning?. 414

16.2. Position, Protect, and Pull. 417

16.3. Demand-Driven Sales and Operations Planning. 427

16.4. The Demand-Driven Adaptive Enterprise. 428

16.5. Organizational Readiness. 429

16.6. Summary. 430

17. Implementing SAP IBP for Demand-Driven Replenishment. 431

17.1. Master Data and Planning Area Configuration. 431

17.2. Average Daily Usage Calculation. 437

17.3. Strategic Inventory Positioning and Buffer Sizing. 441

17.4. Managing Buffers. 445

17.5. Demand-Driven Order Recommendations. 447

17.6. Integration with SAP ERP. 447

17.7. Visibility and Collaboration. 449

17.8. Summary. 451

18. Unified Planning and User Roles. 453

18.1. Unified and Integrated Planning Areas. 453

18.2. Application Jobs. 459

18.3. User and Business Roles. 463

18.4. User Group Creation. 469

18.5. Summary. 470

19. Implementation Methodology. 471

19.1. SAP Integrated Business Planning Project Implementation. 472

19.2. Project Implementation Methodology. 472

19.3. Sprint Delivery and Team Framework. 482

19.4. SAP Best Practices for SAP Integrated Business Planning. 483

19.5. SAP Integrated Business Planning, Edge Edition. 485

19.6. Implementation Recommendations. 486

19.7. Summary. 489

20. Customer Case Studies. 491

20.1. Automotive. 491

20.2. Building Materials. 492

20.3. Chemicals. 493

20.4. Consumer Products. 495

20.5. Healthcare. 501

20.6. High Tech. 502

20.7. Industrial Machinery and Components. 504

20.8. Mill Products. 505

20.9. Retail. 506

20.10. Utilities. 507

20.11. Summary. 507

A. Supply Chain Management Acronyms. 509

B. The Authors. 513

. Index. 515

Über Autor(innen)

Chandna, Sanchit
Sanchit Chandna is a manager for Deloitte Consulting LLP with more than nine years of experience in the design and implementation of SAP supply chain solutions, focusing on demand management, master production scheduling, rough cut capacity planning, inventory planning and optimization, and S&OP. He has deep knowledge of SCOR processes and is an expert in SAP IBP and SAP APO. He has implemented supply chain planning and optimization technology solutions in the chemical, food, life sciences and medical consumer products, auto, high-tech, and semiconductor industries. Currently, he is working with multiple SAP IBP customers as a subject matter expert.

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.

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.

Foster, Jay
Jay Foster is the director of solution management at SAP for SAP IBP.