SAP Integrated Business Planning

Functionality and Implementation
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Gewicht:
987 g
Format:
232x183x32 mm
Beschreibung:

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.
Deploy SAP IBP and set it up in your landscape
... 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 Re
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.

In this book, you'll learn about:
a. Getting Started
Develop a holistic understanding of your supply chain in SAP IBP: learn to navigate the new UI and load data into SAP IBP, utilize the basic planning model, and plan your SAP IBP implementation.
b. Implementation
Follow comprehensive steps for configuring SAP IBP, starting with baseline functionality and SAP IBP deployment, before moving on to functionality and implementation with the five primary applications.
c. Case Studies
Explore real-world case studies from the high-tech, CPG, life sciences, and manufacturing fields and see how peers and competitors are achieving value through best practices.

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

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